1. Preamble
   1. Reconciliation to Audited Financial Statements
   2. Limitations
2. Reporting Practices
   1. Prescribed Reporting Practices
   2. Uniform Reporting Practices
      1. Basis of Consolidation
      2. Funds
      3. Accrual Concept
      4. Funds Flow Approach
      5. Guidance on Use of the Correct Fund
      6. Capital Assets
      7. Vacation Pay, Pension Costs and Future Benefits
      8. Sales and Cost Recoveries
      9. Interfund Transfers
      10. Gifts-In-Kind
      11. Borrowing and Principal Repayment
      12. Full Costing of Ancillary Services
      13. Use of Estimates
3. Detailed Instructions for Institutions Reporting Financial Data
   1. Comparable Financial Data
   2. Annual Return
   3. Definitions, Explanations and Examples
      1. Funds
      2. Income by Fund (Table 1)
      3. Expenditures by Fund (Table 2)
      4. General Operating Expenditures by Function (Table 4)

I. Preamble

Financial Information of Universities and Colleges is an annual survey conducted by Statistics Canada to provide a basic source of reference for the financial data of universities and degree-granting colleges in Canada.

The Guidelines are intended to assist both users and preparers of the financial data reported in the annual survey (or “return”), and are organized as follows:

Section II provides general information for both users and preparers of the annual return. This section discusses financial reporting by institutions and identifies users of the annual return and their needs, as well as the relationship of generally accepted accounting principles to the financial data and the prescribed reporting practices underlying that data.

This section will assist users and preparers of the annual return to appreciate the differences between accounting principles for audited financial statements and prescribed reporting practices for the annual return.

Section III provides detailed instructions for institutions reporting financial data. This is the “how-to” section for preparers to refer to when completing the forms, and will be of interest to users who seek additional information on specific terms or particular line items used in the annual return.

A. Reconciliation to Audited Financial Statements

A copy of your audited financial statements is requested for submission along with your input return.  If a copy is not available please advise us of the date on which the audited financial statements will be forwarded.

B. Limitations

Notwithstanding the use of detailed Guidelines to assist preparers, there are limitations in the comparability of the data because of differences in the underlying accounting practices followed by institutions. Even the most stringent of reporting guidelines cannot eliminate differences resulting from different underlying accounting practices. As well, interregional comparisons must  recognize differences such as various sources of funding, fiscal year-end dates varying from March 31^st to June 30^th, and variations in provincial policies and provincial funding responsibilities.

Specific examples where differences between institutions result in limitations in the comparability of financial data include:

• Definition of research – The definition or research used by an institution will determine the income and expenditures that are reported in the Sponsored research fund. For example, clinical trials may or may not be defined as research and therefore may or may not be reported as sponsored research expenditures.
• Hospitals and hospital based medical research – The amount and level of detail reported by institutions for hospitals and for hospital based medical research varies depending upon the corporate relationship between the institution and the hospital.
• Canada Foundation for Innovation (CFI) Provincial matching grants – while an institution separately reports certain specific provincial government grants that are earmarked as CFI matching grants, not all provincial CFI matching grants are separately reported because not all are specific and earmarked.
• Internal sales and cost recoveries – Depending upon particular management information systems and business practices, an institution may report amounts by reducing offsetting expenditures or as internal cost recoveries.
• Computing and communication costs – The amount reported by institutions for computing and for communication costs will vary depending upon whether an institution has a centralized or decentralized structure for computing and for communications.

In addition, comparisons of financial data over multiple years should be done with caution because of changes in generally accepted accounting principles that could alter the underlying data and changes in the Guidelines that govern the reporting of the data.

II. Reporting Practices

This section will assist users and preparers of the annual return to appreciate the differences between accounting principles for audited financial statements and prescribed reporting practices for the annual return.

A. Prescribed Reporting Practices

The audited financial statements of reporting institutions are prepared in accordance with generally accepted accounting principles (GAAP). Adherence to GAAP results in consistency of reported financial results from one year to the next.

In certain situations, however, GAAP permits individual institutions to choose between equally acceptable alternatives. As an example, institutions can choose either the deferral or restricted fund method of revenue recognition, and reporting nuances of each method may make comparisons between institutions difficult.

In addition, the users of the annual return may require, in certain situations, financial data based on an accounting practice that deviates from GAAP. For example, users of capital expenditure data generally require line item reporting of income and expenditures based on the flow of funds, rather than on capitalized and amortized amounts.

By way of highlights, users and preparers of the financial data should note the following points that apply to the annual return, even though they may represent differences from the practices normally followed by individual institutions in reporting financial information:

• Restricted funds include both external and internal restrictions, rather than external only.
• Certain restricted income not expended in the year, such as income in the Sponsored research fund, is reported on the funds flow approach, rather than deferred (see Section II.B.4).
• Capital expenditures are reported on the funds flow approach, rather than capitalized and amortized (see Section II.B.6).
• Certain expenditures, such as vacation pay, pension costs and future benefits, are reported on the cash basis, rather than accrued (see Section II.B.7).
• Institutions are encouraged to minimize interfund transfers by reporting income and the corresponding expenditures in the same fund (see Section II.B.9).
• Users require income and expenditure data, only; therefore, a complete set of financial statements is not reported.

These Guidelines are not intended to conform an institution’s annual return to its financial statements or its internal management reports. The prescribed practices, including the uniform reporting practices that follow, may or may not be in accordance with generally accepted accounting principles. These Guidelines are intended to promote consistency of financial data.

B. Uniform Reporting Practices

For consistency of financial data, reporting institutions and the preparers of the annual return within those institutions must comply with the Guidelines in general, and specifically with the uniform reporting practices. The uniform reporting practices, and the detailed instructions that follow in Section III, have been developed recognizing that balance is required between the information requirements of the users of the annual return and the response burden that is placed on the preparers. The uniform reporting practices are as follows:

1. Basis of Consolidation

For related and affiliated entities, each institution is to report financial data in the annual return on the same basis as that used for its consolidated financial statements. If the financial data for the entity are only reported in the notes to the consolidated financial statements, then the financial data are not reported in the annual return. For instance, the financial data for a Charitable Foundation will only be included in the annual return if the Charitable Foundation is consolidated in the financial statements of the institution.

2. Funds

The financial data will be reported following a form of fund accounting. Fund accounting classifies resources for accounting and reporting purposes in accordance with activities or objectives as specified by donors, in accordance with regulations, restrictions, or limitations imposed by sources outside the institution, or in accordance with directions issued by the governing body of the institution.

A fund is an accounting entity with a self-balancing set of accounts for recording assets, liabilities, a fund balance, and changes in the fund balance. Funds have been identified as either unrestricted or restricted. Restricted funds, other than Endowment, account for resources that may be used for current purposes, but with some limitations imposed by external or internal sources.

For accounting and reporting purposes, institutions combine the funds with similar characteristics into distinct fund groups. The fund groups reported in the annual return, with a brief explanation of each, are as follows:

General operating is an unrestricted fund that accounts for the institution’s primary operating activities of instruction and research, other than sponsored research.

Special purpose and trust is a restricted fund. The funds, including donations, may be restricted by external sources, or internally restricted by the institution’s governing body, for purposes other than sponsored research (Sponsored research fund), or capital (Capital fund).

Sponsored research is a restricted fund that accounts for income and expenditures for all sponsored research. Amounts are separately reported for entities consolidated and entities not consolidated (see Section II.B.1).

Ancillary is an unrestricted fund that separately accounts for all “sales-producing” operations or “self-supporting” activities that are supplementary to the institution’s primary operating activities of instruction and research.

Capital is a restricted fund that accounts for resources provided to the institution for capital purposes and not reported in any other fund.

Endowment is a restricted fund that accounts for the capitalization of externally or internally restricted amounts, primarily donations, which cannot be spent.

Section III.C.1 provides additional information and explanatory comments on each of the above funds.

3. Accrual Concept

As a general reporting practice, institutions follow the accrual, rather than the cash basis of accounting. The accrual concept refers to the method of recording transactions where income is reported in the period in which the income is considered to have been earned, rather than received; and expenditures, in the period in which the expenditures are considered to have been incurred, rather than disbursed. An example of the application of this concept to an income item is the accrual for interest earned, but not received; and, to an expenditure item, is the accrual for retroactive salary costs earned, but not paid.

Exceptions in the annual return to the accrual concept include –

• the funds flow approach for reporting income in the Special purpose and trust, and Sponsored research funds (see Section II.B.4),
• the funds flow approach for reporting income and expenditures for capital asset transactions (see Section II.B.4), and
• the cash basis for reporting vacation pay, pension costs and future benefits (see Section II.B.7).

4. Funds Flow Approach

For specific types of activities, income will be reported in the annual return following a funds flow approach; that is, for both Special purpose and trust, and Sponsored research (see Section III.C.1), the funds are reported as income in the period in which the funds are received or receivable. The corresponding expenditures, on the other hand, are reported consistent with the accrual concept; that is, in the period in which the expenditures are incurred. For example, when an institution is awarded a research contract, the income is reported when the funds are received or receivable under the terms of the contract.

Income and the corresponding expenditures are to be reported in the same fund (see Section II.B.9).

5. Guidance on Use of the Correct Fund

For all funds the matching principle applies; that is the revenue and related expenditure should be recorded in the same fund. It is not as straightforward to decide whether the revenue or expenditure source should dictate the fund where they are recorded. Depending upon the fund, there is not one method that says that expenditures should be recorded in the same fund as the revenue (expenditures follow revenues) or vice versa (revenues follow expenditures). Other reporting considerations have taken precedence over this consideration. However, while the applicable method may not be consistent across all funds, it is consistent within a given fund. The following shows the method to follow for each fund:

Operating Fund – expenditures follow revenues; Special Purpose & Trust Fund – expenditures follow revenues; Sponsored Research Fund – expenditures follow revenues; Ancillary Fund – expenditures follow revenues; Endowment Fund – revenues follow expenditures; Capital Fund – expenditures follow revenues.

6. Capital Assets

The uniform reporting practice in the annual return for capital expenditures is to follow the funds flow approach, rather than to capitalize and amortize. Funds received to acquire capital assets are reported as income in the period in which the funds are received or receivable. Funds used to acquire capital assets are reported as expenditures in the period in which the funds are paid or payable.

Capital expenditures are to be reported in the same fund as the corresponding income. Specifically, capital expenditures are only reported in the Capital fund when the corresponding income is reported in the Capital fund.

7. Vacation Pay, Pension Costs and Future Benefits

Vacation pay, pension costs and future benefits, including benefits arising as a result of early retirement, are to be reported on the cash basis. The cash basis refers to the method of recording transactions where expenditures are reported in the period in which cash is disbursed.

8. Sales and Cost Recoveries

The practices followed by institutions in reporting sales and cost recoveries in their financial records vary significantly and, for the most part, are dependent upon the particular management information systems and business practices of the respective institutions.

For the annual return, as a general practice, sales and cost recovery amounts are to be reported at “gross”, rather than “net”. “Gross” means that the sales and the corresponding cost are reported as separate items. “Net” means that the sales and corresponding cost are combined, and the difference is reported as a separate item. Reporting amounts at “gross” provides users of the financial data with better information than reporting at “net”.

Sales and cost recovery transactions can generally be classified as external sales, internal sales, external cost recoveries and internal cost recoveries.

• (a) External sales and external cost recoveries – “third party” transactions, where the price to the external party is determined based on either the commercial value of the services or product, or the cost of the services or product. The price may or may not include a profit component.
• (b) Internal sales – transactions between funds or functions, where the price to the internal party is determined based on either the commercial value of the services or product, or the cost of the services or product. The price includes a profit component. Internal sales exclude transactions based specifically on indirect or overhead costs. For the purposes of the annual return, internal sales will be categorized by those sales originating from ancillary services (see Section III.C.1 – Ancillary) and those sales originating from other funds or functions.
• (c) Internal cost recoveries – the recovery, allocation, charge-out or transfer of costs between funds or functions. Internal cost recoveries refers specifically to indirect or overhead costs.

External sales, external cost recoveries and internal sales originating from ancillary services are to be reported as sale of services and products. (See Section III.C.2 – line 25.)

As an exception to reporting amounts at “gross”, and also to avoid double counting of income and expenditures, the preferred method of reporting internal sales, other than those originating from ancillary services, is to report the amounts at “net”. To report at “net”, income in the fund or function selling the services or product is netted against the expenditures in that same fund or function. The fund or function purchasing the services or product reports the expenditure. Alternatively, where “netting” is not possible or feasible within a fund or function, the internal sales can be reported separately under an expenditure line item (a recovery) in both the fund or function selling the services or product and the fund or function purchasing the services or product. (See Section III.C.3 – line 20.)

Internal cost recoveries are also to be reported in such a manner as to avoid double counting of expenditures. The preferred method is direct allocation – that is, by reducing the expenditure types in the fund or function from which the costs are allocated, offset with a corresponding increase in the same expenditure types in the fund or function to which the costs are allocated. This approach provides users with better functional comparisons of individual expenditure line items. Alternatively, where direct allocation is not possible or feasible, the internal cost recoveries can be reported separately under an expenditure line item (a recovery) in the fund or function from and to which the costs are allocated. (See Section III.C.3 – line 20.)

9. Interfund Transfers

Situations arise where in the normal course of operations, an institution reports income in one fund, but reports the corresponding expenditure in another fund. In such situations, the institution records a transfer from the fund in which the income was received, to the fund in which it is expended. This transfer is referred to as an interfund transfer. The transfer of an operating surplus from the Ancillary fund to the General operating fund is an example of an interfund transfer.

These Guidelines encourage institutions to report income and the corresponding expenditure in the same fund. For example, capital expenditures are to be reported in the same fund as the corresponding income and investment income earned on trust and endowment funds is to be reported in the same fund as the corresponding expenditures. This approach provides users with better financial data to calculate statistics such as the relationship between income and expenditures, by fund.

10. Gifts-In-Kind

Gifts-in-kind that are recorded in an institution’s audited financial statements will be reported in the annual return as both an income and expenditure item.

11. Borrowing and Principal Repayment

Interest payments will be reported as expenditures in the appropriate fund.  The borrowing and repayment of principal will not be reported as income or expenditure.

12. Full Costing of Ancillary Services

Ancillary services (see Section III.C.1 – Ancillary) should include all direct expenditures and cost allocations related to ancillary operations. Cost allocations, for example, should include a reasonable allocation for utility (unless the utility is an ancillary service) and plant maintenance, and for the institution’s management and administrative support. Cost allocations to ancillary services are internal cost recoveries (see Section II.B.8) in the fund or function from which the costs are allocated.

13. Use of Estimates

To complete the annual return in accordance with these uniform reporting practices, costs may have to be allocated among funds and functions. Where cost allocations are required, the allocations can be based on best estimates.

III. Detailed Instructions for Institutions Reporting Financial Data

This section provides detailed instructions for institutions reporting financial data. This is the “how-to” section for preparers to refer to when completing the annual return, and will be of interest to users who seek additional information on specific terms or particular line items used in the annual return. Preparers of the financial data should review the previous sections of the Guidelines before proceeding.

A. Comparable Financial Data

Normally, the criteria for placement of a particular income or expenditure item within a fund or function in the annual return is the same as that used by an institution in its financial statements or internal management reports. However, where the Guidelines specifically designate the placement of an item, the item must be shown under the designated heading regardless of the institution’s practice. Consequently, the classification of activities or items of income and expenditure in the annual return may differ from the classification used by an institution in its financial statements or internal management reports. For example, health services and athletics are to be reported in the Student services function in the annual return (see Section III.C.4 – Student services) although they may be reported as ancillary services in the institution’s financial statements or internal management reports.

The financial data reported by each institution will be more useful when the data have been prepared consistently over time. In order to satisfy user information needs, preparers must comply with these Guidelines.

B. Annual Return

The detailed financial data requested in the annual return are reported in Tables 1, 2 and 4. (Note that Table 3 pertains to a more detailed survey conducted with other institutions   and is not part of this package).  The contents of the annual return are as follows:

• General Information and Instructions
• Table 1. Income by Fund
• Table 2. Expenditures by Fund
• Table 4. General Operating Expenditures by Function

In certain situations, an institution may determine that while it has complied with the Guidelines, it has provided financial data that may exceptional. In such situations, the institution can provide either accompanying notes of explanation, or observations and comments in the space provided at the bottom of each Table. This additional information would be useful for Statistics Canada in its review of the annual return for reasonableness. Examples could be any “material” extraordinary or non-recurring income or expenditure item included in a fund and/or functional area.

An institution may also use the space provided at the bottom of each Table for any observations and comments that the institution wishes to make regarding items not covered in the annual return.

Preparers should recognize that users of the annual return are prepared to accept reasonable allocations where exact numbers are not available (see Section II.B.13).

C. Definitions, Explanations and Examples

The funds are discussed first, to assist the preparer to segregate the various income and expenditure items for reporting purposes. Following the discussion of funds, the financial data to be reported on the applicable lines in each Table are discussed. The financial data should be reported by fund in Tables 1 and 2 of the annual return.

1. Funds

Fund accounting (see Section II.B.2) classifies resources for accounting and reporting purposes in accordance with activities or objectives as specified by donors, in accordance with regulations, restrictions, or limitations imposed by sources outside the institution (external restrictions) or in accordance with directions issued by the governing body (internal restrictions). Funds have been identified as either unrestricted or restricted. Restricted funds, other than Endowment, account for resources that may be used for current purposes, but with some limitations imposed by external or internal sources.

For accounting and reporting purposes, institutions combine the funds with similar characteristics into distinct fund groups. For the annual return, the fund groups are General operating, Special purpose and trust, Sponsored research, Ancillary, Capital, and Endowment.

Preparers should note the following:

• restricted funds include both external and internal restrictions,
• income and expenditure within Sponsored research is separately reported for entities consolidated and entities not consolidated (see Section II.B.1),
• interfund transfers should be minimized by reporting income and the corresponding expenditure in the same fund (see Section II.B.9).

General operating is an unrestricted fund that accounts for the institution’s primary operating activities of instruction and research, other than sponsored research. The general operating fund includes the costs of privately funded and non-credit programs.

Fund income includes provincial government grants (including research other than sponsored research), student tuition and other fees (for credit and non-credit courses), and income from private and other unrestricted sources. Fund income also includes investment income, if the corresponding expenditures are reported in the General operating fund.

Fund expenditures are for the general operating costs of the institution including instruction and research (other than sponsored research), academic support services, library, student services, administrative services, plant maintenance, external relations and other operating expenditures of the institution. Fund expenditures also include the purchase of capital assets, if the corresponding income is reported in the General operating fund.

Special purpose and trust is a restricted fund. The funds, including donations, may be restricted by external sources, or internally restricted by the institution’s governing body, for purposes other than sponsored research (Sponsored research fund), or capital (Capital fund). Income is to be reported following the funds flow approach (see Section II.B.4).

Fund income includes designated gifts, benefactions and grants. Fund income also includes investment income, if the corresponding expenditures are reported in the Special purpose and trust fund.

Fund expenditures include the purchase of capital assets, if the corresponding income is reported in the Special purpose and trust fund.

Sponsored research is a restricted fund that accounts for income and expenditures for all sponsored research. Amounts are separately reported for entities consolidated and entities not consolidated (see Section II.B.1). Income is to be reported following the funds flow approach (see Section II.B.4).

Fund income includes funds to support research paid either in the form of a grant or by means of a contract from a source external to the institution. Income sources include government, private industry and donors. The federal grant allocation for Indirect Costs of Research would be included here. The corresponding expenditures should be reported as an internal cost recovery between the Operating and Sponsored Research Funds, similar to the treatment of overheads. Fund income also includes investment income, if the corresponding expenditures are reported in the Sponsored research fund.

Fund expenditures include activity funded from Sponsored research income and exclude activity funded from the General operating fund. Fund expenditures include the purchase of capital assets, if the corresponding income is reported in the Sponsored research fund. Fund expenditures also include internal cost recoveries (see Section II.B.8).

Funds from Canada Foundation for Innovation, along with applicable matching funds, are to be reported as Sponsored research income. The corresponding expenditures, including the purchase of capital assets, are to be reported as Sponsored research expenditures.

Funding related to Canada Research Chairs are to be reported as Sponsored Research income. The corresponding expenditures, including the purchase of capital assets, are to be reported as Sponsored Research expenditures.

Within the Sponsored research fund, the first column in the applicable Tables is used to report income and expenditures for entities consolidated, and the second column, for entities not consolidated. Both columns combined represent the total Sponsored research reported by the institution. For the first column, “Entities Consolidated”, reported amounts are based on the financial data of entities included in the consolidated financial statements of the institution.

For the second column, “Entities not Consolidated”, institutions are permitted to separately report sponsored research, including hospital based medical research funding, that is granted to academic staff of the reporting institution, but conducted in entities that are not consolidated. Reporting of the sponsored research is permitted if all the following four conditions are met:

• the entity not consolidated must be an affiliated institution as established by an affiliation agreement with the reporting institution.
• academic staff from the reporting institution lead the sponsored research project and conduct the research at the non-consolidated affiliated institution,
• the financial data (income and expenditure) for the sponsored research are reported in the financial statements of the non-consolidated affiliated institution, and
• the sponsored research would be reported in the Sponsored research fund had the research been conducted at the reporting institution, rather than at the affiliated institution.

In addition, for “Entities not Consolidated”, the amounts reported as income (Table 1, line 27, column 4) must equal the amounts reported as expenditures (Table 2, line 24, column 4).

To provide financial data that are comparable, the income and expenditure items for sponsored research for entities not consolidated are to be reported in accordance with these Guidelines. Although this financial data have not been subject to audit by the reporting institution, there is an expectation that the data have adequately documented support.

Ancillary is an unrestricted fund that separately accounts for all “sales-producing” operations or “self-supporting” activities that are supplementary to the institution’s primary operating activities of instruction and research. Ancillary services exist to provide goods and services to students, faculty, staff, and others. Ancillary services charge a fee directly related to, although not necessarily equal to, the cost of the goods or services.

Ancillary services typically include bookstores, food services (dining hall, cafeterias, vending machines), residences and housing, parking, university press, publishing, laundry services, property rentals, university facility rentals, theaters, and conference centers.

All sales, external and internal, from ancillary services are reported as income (see Section II.B.8).

To report expenditures, full costing of ancillary services is required (see Section II.B.12). The preferred method of reporting internal cost recoveries or cost allocations is direct allocation, but where direct allocation is not possible or feasible, the internal cost recoveries can be reported under a separate expenditure line item (see Section II.B.8). Any capital items purchased directly from Ancillary income are to be reported in the Ancillary fund on the appropriate expenditure line.

Capital is a restricted fund that accounts for resources provided to the institution for capital purposes and not reported in any other fund. Income and expenditures are to be reported following the funds flow approach for capital assets (see Section II.B.6).

Fund income includes grants and related investment income, donations, and other resources made available to the institution by external funding sources, such as government and donors, specifically for capital purposes.

Fund expenditures include building programs, acquisitions of major equipment and furniture, major renovations and alterations, space rental and buildings, land and land improvements.

Because capital expenditures are to be reported in the same fund as the corresponding income, not all capital expenditures will be reported in the Capital fund. For example, funds from Canada Foundation for Innovation, along with applicable matching funds, are to be reported as Sponsored research income. The corresponding expenditures, including the purchase of capital assets, are to be reported as Sponsored research expenditures.

Endowment is a restricted fund that accounts for the capitalization of externally or internally restricted amounts, primarily donations, which cannot be spent.

Investment income generated by endowments may be used for various purposes, with these purposes often restricted by donors. Investment income should be reported in the same fund as the corresponding expenditures. Expenditures, excluding those incurred to earn investment income, are to be reported in an appropriate fund other than the Endowment fund. Expenditures incurred to earn investment income are to be reported “net” of the investment income.

Investment income that is used to preserve the capital value of the Endowment fund is reported as income in the Endowment fund.

2. Income by Fund (Table 1)

The funds described in Section III.C.1 are reported in columns 1, 2, 5, 6, 7 and 8 in Table 1, with the total of the funds reported in column 9. Column 5 reports the sub-total for the Sponsored research fund. Within Sponsored research, column 3 reports “Entities Consolidated” and column 4 reports “Entities not Consolidated”.

The types of income to be reported in Table 1 are identified on the left-hand side of the Table. If there is uncertainty as to which line to use to report a type of income, report the income on the line best describing the activity. For example, government funds to pay tuition fees for participants in a non-credit program should be reported on line 13 (Non-credit tuition), rather than under government grants and contracts. Furthermore, where the designation of a particular type of income in this Table differs from that used by an institution in its financial statements or its internal management reports, the type of income must be shown per the Guideline instructions regardless of the institution’s practice.

As a general reporting practice, institutions follow the accrual, rather than the cash basis of accounting (see Section II.B.3). For reporting income, exceptions to the accrual concept in the annual return include the funds flow approach for reporting funds received to acquire capital assets (see Section II.B.6) and for reporting income in the Special purpose and trust, and Sponsored research funds (see Section II.B.4).

Income includes gifts-in-kind that are recorded in an institution’s audited financial statements (see Section II.B.10).

The six major categories of income are:

• government departments and agencies – grants and contracts,
• tuition and other fees,
• donations, including bequests
• non-government grants and contracts,
• investment, and
• other (including sale of services and products, and miscellaneous).

(i) Government departments and agencies - grants and contracts

Lines 1 to 11 include grants from, and contracts with, federal government departments and agencies, provincial government departments and agencies, and municipal governments. Grants and contracts from other provincial governments and from foreign governments are also reported in this category.

Government grants provide financial support to institutions and the grants may or may not be restricted.

Government contracts provide financial support to institutions under certain stipulations and conditions, including the provision of a deliverable product, such as a piece of equipment, a service, or a report. A contract normally includes provisions for institutions to recover certain indirect or overhead costs, with the contract specifying or documenting the basis for the calculation of the recoverable costs.

Federal

Lines 1 to 7 include all research grants, research contracts, grants and contributions from the Government of Canada and its departments and agencies, including the federal portion of capital and other grants that flow through a provincial government. Income received from the six major federal government agencies is reported on lines 1 to 6, as applicable.

The line items under “federal” are as follows:

Line 1 Social Sciences and Humanities Research Council (SSHRC)

Line 2 Health Canada

• Income from Health Canada not reported under Line 4 – Canadian Institutes of Health Research (CIHR) – should be reported in this line.

Line 3 Natural Sciences and Engineering Research Council (NSERC)

Line 4 Canadian Institutes of Health Research

Line 5 Canada Foundation for Innovation (CFI)

• CFI income is reported under the Sponsored research fund.

Line 6 Canada Research Chairs

• Funding for Canada Research Chairs is reported under the Sponsored Research Fund.

Line 7 Other federal

• Income from all other federal government departments and agencies is reported on this line. This would include grant allocations for the Indirect Costs of Research.

Other

Lines 8 to 11 include all grants from, and contracts with, the province and its departments and agencies, municipal governments, other provinces, and foreign governments.

The line items under “other” are as follows:

Line 8 Provincial

• Income from provincial government departments and agencies, including provincial CFI matching grants, is reported on this line.
• Provincial CFI matching income from the Ministry responsible for the institution is reported under the Sponsored research fund.

Line 9 Municipal

• Examples of income to be reported on this line include grants from urban transit, communication and parking authorities.

Line 10 Other provinces

• This line includes grants from, and contracts with, provinces other than the province with jurisdiction.

Line 11 Foreign

• Examples of income to be reported on this line include grants from the National Endowment for Humanities, National Institutes of Health, and the National Science Foundation.

(ii) Tuition and other fees

The types of revenue (Lines 12 to 14) include credit course tuition, non-credit tuition and other fees.

Line 12 Credit course tuition

• Credit courses are courses of instruction or programmed learning that are offered within a degree program; or, that may be granted status equivalent to a credit course within a degree program.
• Credit courses are offered during the fall and winter sessions of a semester type operation, all three terms of a trimester operation and the year round operation of graduate schools and include intersession, spring session and summer session credit courses and credit extension.
• Credit course tuition includes tuition and other mandatory fees related to the instruction of the courses, such as computer and laboratory fees.
• Credit course tuition also includes fees for “make‑up” or special courses that are related to the credit offerings of the institution, and fees for auditing in credit courses.
• Credit course tuition should be reported on this line whether the cost of the credit course is subsidized or fully recoverable.

Line 13 Non-credit tuition

• Non-credit programs are courses of instruction or programmed learning that are not credit courses (see line 12).
• Non-credit tuition includes fees for lectures, courses and similar activities that are not recognized by the institution for the purpose of granting credit. Non-credit programs are usually offered through continuing education units.
• Government funds to pay tuition for participants in a non-credit program should be reported as non-credit tuition, rather than as government grants and contracts.

Line 14 Other fees

• Other fees include all compulsory and non-compulsory fees charged to students such as health services, athletics, library, applications, late registrations, lockers and transcripts. These fees would be reported under the General operating fund.
• Other fees exclude fees collected by the institution acting in an agency capacity. An example would be student fees collected on behalf of student controlled and administered activities such as student councils or federations.

(iii) Donations, including bequests

Donations are a voluntary transfer of cash or negotiable instruments made without expectation of return or benefits of any kind to the donor. Bequests flow from wills. Donations, including bequests, are considered to be gifts for tax purposes. Amounts received that are eligible to be receipted as charitable donations for federal income tax purposes are to be reported on lines 15 to 17, as applicable.

Lines 15 to 17 categorize “donations, including bequests” by individuals, business enterprises, foundations and not-for-profit organizations.

In addition, donations designated for specific purposes and donations that cannot be spent are reported in the Endowment fund (see Section III.C.1 – Endowment). Donations also include gifts-in-kind that are recorded in an institution’s audited financial statements (see Section II.B.10).

With the exception of circumstances outlined in the preceding paragraph, donations are to be reported in the same fund as the corresponding expenditures (see Section II.B.9).

Line 15 Individuals

• This line includes families.

Line 16 Business enterprises

• Business enterprises include unincorporated businesses as well as privately or publicly incorporated companies that are operated for profit and derive revenue mainly from the sale of goods and services. The common forms of unincorporated businesses are sole proprietorships and partnerships, and examples include farmers and professional practitioners.

Line 17 Not-for-profit organizations

This includes foundations and other not-for-profit organizations.

• A foundation is an entity that can either be a corporation or a trust constituted and operated exclusively for charitable purposes. Funds contributed to an institution by a non-consolidated charitable foundation would be reported here.
• Not-for-profit organizations include associations or societies, and examples include religious organizations, labour unions, professional organizations and fraternal societies.

(iv) Non-government grants and contracts

Non-government grants and contracts provide financial support under certain specific stipulations and conditions, including the provision of a deliverable product, such as a piece of equipment, a service, or a report. The amounts received by an institution are not considered as charitable donations for tax purposes and therefore are ineligible to be receipted as charitable donations for federal income tax purposes.

Lines 18 to 20 categorize “non-government grants and contracts” by individuals, business enterprises, foundations and not-for-profit organizations.

Line 18 Individuals

• This line includes families.

Line 19 Business enterprises

Business enterprises include unincorporated businesses as well as privately or publicly incorporated companies that are operated for profit and derive revenue mainly from the sale of goods and services. The common forms of unincorporated businesses are sole proprietorships and partnerships, and examples include farmers and professional practitioners.

Line 20 Not-for-profit organizations

This includes foundations and other not-for-profit organizations.

• A foundation is an entity that can either be a corporation or a trust constituted and operated exclusively for charitable purposes.
• Not-for-profit organizations include associations or societies, and examples include religious organizations, labour unions, professional organizations and fraternal societies.

(v) Investment Income

Investment income includes income from dividends, bonds, mortgages, short-term notes and bank interest. Bond interest would include an accrual for stripped bonds (see Section II.B.3). Investment income also includes realized and unrealized gains and losses on investment transactions, if the gains and losses are reported in the audited financial statements, regardless of how investments have been designated by the institution (held for trading or not).

Investment income excludes income from a non-consolidated charitable foundation. Income from a non-consolidated charitable foundation should be reported on line 17 (Not-for-profit organizations).

Included in this section are endowment and other investment income (Line 21 and 22).

Line 21 Endowment

• Investment income earned on endowment funds is reported on this line under the same fund as the corresponding expenditures.
• Investment income earned on endowment funds and used to preserve the capital value of the Endowment fund is reported on this line under the Endowment fund.
• Expenditures incurred to earn investment income, such as the cost of an investment manager(s) to manage the endowment funds, are to be reported “net” of the investment income.

Line 22 Other investment

• Investment income earned on all funds other than endowment funds is reported on this line under the same fund as the corresponding expenditures.
• Other investment income also includes charges for deferred or installment payments and for unpaid student tuition and other fees.
• Any significant non-recurring items should be explained by way of accompanying notes or in the observations and comments section at the bottom of Table 1.

(vi) Other

Other income (Lines 23 and 24) includes sale of services and products, and miscellaneous.

Line 23 Sale of services and products

• This line includes external sales and external cost recoveries (see Section II.B.8).
• External sales and external cost recoveries include sales to outside organizations, such as those for laboratory tests, space rental, utilities and incidental income (including athletic gate receipts, parking fees, conferences and various medical clinics).
• This line also includes rental income from residences and parking.
• Payments received from non-consolidated federated or affiliated entities for the provision of instructional, administrative or other services are reported as sale of services and products.
• For ancillary services (see Section III.C.1 – Ancillary), this line includes both external and internal sales (see Section II.B.8).
• Internal sales, other than those originating from ancillary services, and internal cost recoveries are not reported as income.

Line 24 Miscellaneous

• Miscellaneous income includes commissions, royalties and fees from the use of institution owned rights or properties, or fees for services rendered. Miscellaneous also includes library and other similar fines, rentals, net gain or loss on sale of fixed assets and any type of income not identified in the other categories of income.
• Payments received from non-consolidated federated or affiliated entities for the provision of instructional, administrative or other services are reported as sale of services and products (line 23).

3. Expenditures by Fund (Table 2)

The funds described in Section III.C.1 are reported in columns 1, 2, 5, 6, 7 and 8 in Table 2, with the total of the funds reported in column 9. Column 5 reports the sub-total for the Sponsored research fund. Within Sponsored research, column 3 reports “Entities Consolidated” and column 4 reports “Entities not Consolidated”.

The types of expenditures to be reported in Table 2 are identified on the left-hand side of the Table. Where the designation of a particular expenditure in this Table differs from that used by an institution in its financial statements or its internal management reports, the expenditure must be shown under the designated Table heading regardless of the institution’s practice.

As a general reporting practice, institutions follow the accrual, rather than the cash basis of accounting (see Section II.B.3). For reporting expenditures, exceptions to the accrual concept in the annual return include the funds flow approach for reporting funds used to acquire capital assets (see Section II.B.6) and the cash basis for reporting vacation pay, pension costs and future benefits (see Section II.B.7).

Expenditures include gifts-in-kind that are recorded in an institution’s audited financial statements (see Section II.B.10).

The repayment of principal will not be reported as an expenditure (see Section II.B.11).

Lines 1 to 20 report expenditures that are generally recurring, with a sub-total for lines 1 to 20 reported on line 21. Lines 22 and 23 report significant periodic expenditures such as those for buildings, land and land improvements (line 22) and unusual or non-recurring expenditures, referred to as lump sum payments (line 23), such as those for special assisted early retirement programs. The total of all expenditures is reported on line 24.

The types of expenditures to be reported in Table 2, by line, are as follows:

Lines 1 – 3: Salaries and wages

Salaries and wages are categorized as academic salaries (lines 1 and 2) and other salaries and wages (line 3). Academic salaries are reported by academic ranks (line 1) and by other instruction and research (line 2).

The following types of payments are to be reported as salary and wage expenditures:

• compensation payments, such as payments for salary continuance during sick leave or maternity leave,
• severance payments as a result of terminations in the normal course of business, and
• vacation pay (see Section II.B.7).

Certain lump sum payments for current and future fiscal periods to employees who have terminated employment with the institution are reported on an accrual basis as lump sum payments (line 23).

With the exception of vacation pay, the amounts to be reported as salaries and wages in the annual return are to be calculated following the same practices as those used by the institution for its audited financial statements.

Lines 1 – 2: Academic salaries

Academic salaries are reported by academic ranks and by other instruction and research.

Line 1 Academic ranks

• This line includes payments to both full and part time staff members who hold an academic rank at the reporting institution and are engaged in instruction and research activities.
• The academic ranks include deans, professors, associate professors, assistant professors and lecturers.
• Academic salaries also include payments to staff members in the academic ranks for various types of leave such as administrative, academic or sabbatical.

Line 2 Other instruction and research

• This line includes payments to both full and part time staff and non-staff members without academic rank at the reporting institution, but who are engaged in instruction and research activities.
• The staff and non-staff members include instructors, tutors, markers, laboratory demonstrators, teaching assistants, research assistants, invigilators, clinical assistants, post‑doctoral fellows, and others.
• Other instruction and research salaries also include payments made to graduate and undergraduate students undertaking instruction and research activities.

Line 3 Other salaries and wages

• This line includes salaries and wages not reported on lines 1 and 2. Specifically, other salaries and wages includes payments to all full and part time non-instructional (support) staff including among others, technicians, teaching and research laboratory technicians, clerical and secretarial, professional and managerial, janitorial, trades and maintenance.
• Other salaries and wages also includes payments to individuals who may hold an academic rank, or equivalent thereto, but are engaged in activities other than instruction and research. Examples of such individuals include the president, vice-presidents, certain professional librarians and computing center personnel.

Line 4 Benefits

• Pension costs and future benefits, including benefits arising as a result of early retirement, are to be reported on the cash basis (see Section II.B.7). Otherwise, the amounts to be reported as benefits in the annual return are to be calculated following the same practices as those used by the institution for its audited financial statements.
• Benefits include the cost of an institution’s contributions (with respect to salaries) for pensions (including payments for actuarial deficiencies and past service liability), group life insurance, salary continuance insurance, dental plans, workers’ compensation, health taxes, tuition remission, employment insurance and other costs of an employee benefit programs.
• Benefits also include the cost of benefits paid during early retirement periods, as well as the cost of post retirement benefits.
• Whenever an institution pays a premium or sets aside a negotiated amount for an employee, these amounts should be included as Benefits.
• Memberships or other perquisites of employment are not reported as Benefits.

Line 5 Travel

• Travel includes expenditures on recruitment, travel, moving and relocation of staff, field trips and all other types of travel necessary for the operation of the institution.

Line 6 Library acquisitions

• Library acquisitions include all purchases of, and access to (including electronic access), books, periodicals and other reference materials for the institution’s main branch and faculty or departmental libraries.
• Cost of binding may also be included if normally considered part of the acquisition cost.

Line 7 Printing and duplicating

• This line includes expenditures that would normally be consumed in the fiscal year such as printing, duplicating, photocopying, reproductions, illustrations, publishing and the related supplies.

Line 8 Materials and supplies

• Materials and supplies include expenditures that would normally be consumed in the fiscal year such as sports supplies, stationery, computer and other office supplies.
• Also included are material and supplies for teaching and laboratories. Laboratory supplies include chemicals, instruments, animals, feed and seed.
• Small dollar value equipment and computer software items should be reported under furniture and equipment purchase (line 18).

Line 9 Communications

• Communications includes telephone, data communications, mailing and courier, but excludes expenditures reported as equipment rental and maintenance (line 19).
• Telephone includes watts lines, line services, long distance and other charges.

Line 10 Other operational expenditures

• This line includes space rental, property taxes, institutional membership fees, insurance, meals, advertising and promotion, and doubtful accounts.
• Space rental includes the cost of renting space and land on a long-term basis.
• Property taxes include all taxes paid directly to municipalities by the institution, whether assessed on property values or based on student population.
• Institutional membership fees include fees paid by the institution to outside organizations in lieu of membership.
• This line includes all other expenditures that are not reported elsewhere.

Line 11 Utilities

• Utilities include expenditures for items such as electricity, water, natural gas, fuel and sewer.
• Utilities also include the generating costs for electricity, steam, water, and natural gas.

Line 12 Renovations and alterations

• This line includes expenditures for renovations and alterations to the existing space of the institution, whether the expenditures are internally performed or externally contracted.

Line 13 Scholarships, bursaries and prizes

• This line includes payments to students (except those for which the student is required to perform service for the payment) such as those for fee remission, prizes and awards.
• Payments for which the student is required to perform service for the payment are reported as other instruction and research (line 2), and include payments to graduate and undergraduate students who are instructors, tutors, markers, laboratory demonstrators, teaching assistants, research assistants, invigilators, clinical assistants, post-doctoral fellows, and others.

Line 14 Externally contracted services

• This line includes all expenditures for services contracted to external agencies except for renovations and alterations (line 12), professional fees (line 15), equipment rental and maintenance (line 19), and buildings, land and land improvements (line 22).
• Examples of expenditures to be included are cleaning contracts, security services, snow removal and similar time and material contracts, and food services.
• Where food services are contracted, the contract amount in total should be shown on this line and not as cost of goods sold (line 16) or any other expenditure types, even though the contractor may provide a breakdown of costs.

Line 15 Professional fees

• Professional fees include all fees paid to legal counselors (including retainers for the negotiations of collective agreements), auditors, and computer, human resource and other consultants.
• This line excludes consulting fees for renovations and alterations (line 12), equipment rental and maintenance (line 19), and buildings, land and land improvements (line 22).

Line 16 Cost of goods sold

• Cost of goods sold is to be used where an inventory method of accounting is normally employed, (e.g. bookstore, food services) and should include the laid down cost of goods purchased for resale only.  The remaining costs of operating the service, such as salaries and supplies, are to be shown in their respective expenditure types.
• Where a service is externally contracted, particularly for ancillary services, the total costs of the contract should be included in externally contracted services (line 14). For example, contracted food services are to be reported on line 14, under the Ancillary fund.
• The cost of goods sold is to be reported under the same fund as the income from the sale of the product (see Section III.C.2 – line 25).

Line 17 Interest

• This line includes all interest expenditures to service debts of the institution. Examples include bank interest, mortgage or debenture interest and related charges, and the interest component of installment or lease payments
• Repayments of principal such as principal reductions on loans, mortgages, debentures or repayable grants are not reported as expenditures (see Section II.B.11).

Line 18 Furniture and equipment purchase

• This line includes laboratory equipment (other than consumables), computing equipment and computer software packages, administrative equipment and furnishings (including carpets and drapery), copying and duplicating equipment, and maintenance equipment. Installation expenditures for the above items are to be included as part of their cost.
• This line also includes installment payments and payments under lease purchase contracts, where the lease is a capital lease for accounting purposes. The interest component of any such payments should be reported on line 17.
• This line includes small dollar equipment and computer software items that would normally be expensed in the accounting records of the institution.
• Furniture and equipment purchases are reported under the same fund as the corresponding income (see Section II.B.6). For example, purchases made from CFI grants are reported under Sponsored research (see Section III.C.1 – Sponsored research). Purchases made or to be made from current or future ancillary services income are to be reported under Ancillary (see Section III.C.1 – Ancillary).
• Amortization is not reported as an expenditure.
• Provisions for the replacement of furniture and equipment are considered to be transfers to appropriation or reserve accounts; consequently, such provisions are not to be reported as expenditures.

Line 19 Equipment rental and maintenance

• This line includes all rental and maintenance expenditures for furniture and equipment including laboratory equipment (other than consumables), administrative equipment and furnishings (including carpets and drapery), copying and duplicating equipment, computing equipment, maintenance equipment and telephone equipment.
• This line also includes lease purchase contracts, where the lease is an operating lease for accounting purposes.
• This line also includes expenditures for equipment repairs and maintenance contracted to external agencies.

Line 20 Internal sales and cost recoveries

• The preferred method of reporting internal sales, other than those originating from ancillary services, is to report the amounts at “net” (see Section II.B.8). The preferred method of reporting internal cost recoveries is direct allocation (see Section II.B.8). Where the preferred method is not possible or feasible, this expenditure type can be used, but when it is used, the internal sales and cost recoveries for all funds, when added together, must equal zero.
• This line includes internal sales, other than those originating from ancillary services, and internal cost recoveries (see Section II.B.8).
• Internal sales originating from ancillary services are to be reported as sale of services and product (see Section III.C.2 – line 25).
• Common examples of internal cost recoveries include the overhead recovery of administrative costs and the indirect costs of research between the General operating fund and the Ancillary and Sponsored research funds, and the overhead recovery of utility (unless the utility is an ancillary service) and maintenance costs between the General operating fund and the Ancillary fund.
• To provide better functional comparisons of types of expenditures, institutions are asked to minimize the use of this line to the extent possible.

Line 21 Sub-total

• This line is the sub-total of all expenditures reported on lines 1 to 20.

Line 22 Buildings, land and land improvements

• Buildings include all expenditures that are normally considered part of the construction cost as well as costs incurred during the construction period such as utilities. Land and land improvements include acquisition costs and site preparation such as landscaping, sewers, tunnels and roads. All fees and planning costs related to buildings, land and land improvements are also included.
• Furniture and equipment purchases are reported on line 18.
• The expenditures for buildings, land and land improvements are reported under the same fund as the corresponding income (see Section II.B.6). For example, purchases made from CFI grants are reported under Sponsored research (see Section III.C.1 – Sponsored research). Purchases made or to be made from current or future ancillary services income are to be reported under Ancillary (see Section III.C.1 – Ancillary).
• Amortization is not reported as an expenditure.
• Provisions for the replacement of buildings are considered to be transfers to appropriation or reserve accounts; consequently, such provisions are not to be reported as expenditures).

Line 23 Lump sum payments

• This line includes certain lump sum payments for current and future fiscal periods to employees who have terminated employment with the institution. The characteristics of the payments are such that similar transactions or events are not expected to occur frequently over several years, or do not typify normal business activities of the institution.
• Lump sum payments are reported on an accrual basis.
• Examples of lump sum payments include payments under downsizing or special assisted early retirement programs.
• Severance payments as a result of terminations in the normal course of business are reported as salary and wage expenditures (lines 1 to 3).

4. General Operating Expenditures by Function (Table 4)

Expenditures by Fund (see Section III.C.3) and this section of the Guidelines are very similar in that types of expenditures are identified on the left-hand side of both Tables. However, unlike Table 2 (which is organized by fund), Table 4 is organized by operational or functional areas, within the General operating fund, that represent the major areas of institutional activity. The functions are Instruction and non-sponsored research, Non-credit instruction, Library, Computing and communications, Administration and general, Student services, Physical plant and External relations. These functions are reported in columns 1 to 8, with the total of the functions reported in Column 9. The amounts in Column 9 should be identical to the amounts in Table 2, Column 1 (General operating).

This section provides details to assist preparers to segregate, by function, the various activities and types of expenditures under the General operating fund. Unless otherwise indicated, the definitions, explanations and examples presented in Section III.C.3 for types of expenditures also apply to this section. In addition, as noted previously, where the designation of a particular expenditure in this Table differs from that used by an institution in its financial statements or its internal management reports, the expenditure must be shown under the designated heading regardless of the institution’s practice. For example, health services and intramural and intercollegiate athletics are to be reported under the Student services function although they may be reported as ancillary services in the institution’s financial statements or its internal management reports.

In reporting General operating fund expenditures by function, preparers should be familiar with the uniform reporting practices (see Section II.B). In particular, preparers should be familiar with the practices on internal and external cost recoveries (see Section II.B.8) and use of estimates (see Section II.B.13).

The functions in the General operating fund are as follows:

(i) Instruction and non-sponsored research

The Instruction and non-sponsored research function in the General operating fund includes all direct costs of faculties, academic departments (including salaries of academic deans and their offices), graduate school, summer school, credit extension, and other academic functions and expenditures attributable to this function.

(ii) Non-credit instruction

The Non-credit instruction function in the General operating fund includes lectures, courses and similar activities that are not recognized by the institution for the purpose of granting credit. Non-credit programs are usually offered through continuing education units. Normally where there is non-credit tuition income reported on line 13 under the General operating fund in Table 1, the corresponding expenditures (not necessarily equal to the income) will be reported under this function.

(iii) Library

The Library function in the General operating fund includes the institution’s Archives and other activities related to the institution’s main branch and faculty or departmental libraries. The expenditures include the salary and wage costs of providing the library services as well as the cost of books and periodicals.

(iv) Computing and communications

The Computing and communications function in the General operating fund includes only the activities of centralized computing and communication facilities.

A centralized computing facility refers to computer related activities and resources that have been organized under the management of a central administration. The computing facility is usually seen as an institutional resource that is available on an institution-wide basis and is the most effective way of providing certain services supportive of the institution’s research and administrative activities. Such a  facility usually results from factors including economies of scale, a large number of users who require a wide variety of services, and a high degree of technical expertise required in computer operations.

This function does not include the activities of local or decentralized stand-alone computer installations that are under the management of, and were established for the main purpose of providing services to a single division or department. The expenditures for decentralized computing facilities are to be included under the related functions and funds, as appropriate.

A centralized communications facility includes the costs of telephone equipment rental, service, acquisition and switchboard, including related personnel and other costs. The expenditures for decentralized communications facilities are to be included in the related functions and funds, as appropriate.

If an institution employs a charge-out system for central computing time or communications equipment usage, expenditures should be combined and reported under this function.

Any sales to, or recoveries from, other functional areas or funds, or outside users, are considered to be either an internal or external cost recovery and are to be reported according to the uniform reporting practice for internal and external cost recoveries (see Section II.B.8).

(v) Administration and general

The Administration and general function in the general operating fund covers expenditures in the two broad areas of academic support and other support services. Other support services include administration. These areas are combined and reported in Table 4 under Administration and general.

The academic support area of the Administration and general function includes all activities provided by an institution in direct support of Instruction and non-sponsored research. This area includes the following types of activities:

• the positions of vice-president academic and research (or their equivalents) and their offices
• faculty and instructional support services
• research administration (including grants and contracts administration)
• registrar’s and graduate students office (including calendars, admissions, student records and related reporting)
• convocation and ceremonies
• co-op program administration
• central animal services
• central shops for instruction and research (machine shop, glass blowing, electronics shop)
• distance education support
• instructional technology and audio visual services
• academic class scheduling

The administration area of the Administration and general function includes the following activities:

• administration, planning and information costs and activities associated with the positions of president and vice‑president (or their equivalents) and their offices, except for the positions of vice-president academic and research (or their equivalents) and their offices, which are included in the academic support area. Administrative costs for activities such as fundraising, development, alumni and external communications are included in the external relations area.
• finance, including investment management, internal audit and accounting
• human resources (personnel)
• institutional research
• board and senate secretariat
• printing and duplicating services.

Specific types of expenditures in the administration area include the following:

• professional fees including legal, audit, human resource and other consulting fees that are not specifically attributable to another function. Computer consulting fees are included if the computing facilities are decentralized
• general university memberships
• liability and E & O insurance (fire, boiler and pressure vessel, and property insurance are reported under the Physical plant function).

The appropriate reporting for computing, communications, purchasing, receiving and stores will depend upon whether the institution operates with centralized or decentralized facilities. If the institution has centralized facilities for computing and communications, the activities should be reported under the Computing and communications function. If the institution has centralized facilities for purchasing, receiving and stores, the activities should be included in the administration area of the Administration and general function. If any of computing, communications, purchasing, receiving or stores is decentralized, then these activities should be included under the related functions and funds, as appropriate.

(vi) Student services

The Student services function in the General operating fund includes the cost of services (other than direct teaching, research and administrative services) provided to students by the institution. Generally, these services will include:

• the dean of students and the dean’s office
• counseling and chaplaincy services
• career guidance and placement services
• intramural and intercollegiate athletics (not physical education)
• student health services
• student accommodation services (not residences)
• student transportation services
• student financial aid administration
• bursaries, scholarships and prizes
• grants to student organizations, including the student union
• student programs, including music, drama and student center
• student day care center
• any other student services, social or cultural activities funded by the institution

These services may be provided from the General operating fund income in whole, or in part by a specific fee included in the student incidental fee structure. Where an institution acts in an agency capacity, however, and collects student fees on behalf of student controlled and administered activities such as student councils or federations, the fees collected by the institution are to be excluded from income of the institution. The amount turned over to the benefit of the student council or federation is to be excluded from expenditures of the institution.

(vii) Physical plant

The Physical plant function in the General operating fund includes expenditures related to the physical facilities of the institution. The expenditures include the physical plant office, space planning, maintenance of buildings and grounds, custodial services, utilities, vehicle operations, security and traffic, repairs and furnishings, renovations and alterations, mail delivery services, long-term space and property rental, and municipal taxes (including those for which compensatory grants are received from government).

Physical plant also includes fire, boiler and pressure vessel, and property insurance. All other insurance is reported in the administration area of the Administration and general function.

(viii) External Relations

The external relations area includes all activities provided by an institution in support of ongoing external relations. These activities include fundraising, development, alumni, public relations and public information or external communications. The related administrative costs from the office of the vice-president(s), or equivalent, responsible for one or more of these activities should be included in this area.

Introduction

Statistics Canada's Corporate Business Architecture (CBA) initiative implements measures designed to reduce operating costs, enhance quality assurance and improve responsiveness in the delivery of new statistical programs. The proposal to develop the Integrated Business Statistics Program (IBSP) represents a way for Statistics Canada's business statistics programs to achieve these objectives. The IBSP aims to rebuild the existing Unified Enterprise Survey (UES) platform into a CBA-compliant generalized model for producing business statistics. This model will cover all survey steps, from frame and sampling to dissemination. The initial objective was to apply the IBSP model to all business programs with the exception of Prices and International Trade. There are six pillars underlying the IBSP proposal that will produce the expected efficiencies:

• full use of the Business Register (BR) as the frame for all business surveys;
• use of electronic data collection as the primary mode of collection;
• use of a common edit strategy for automated and manual editing;
• establishment of an earlier cut-off for active collection;
• use of the tax information for estimating financial information;
• improved governance across all areas involved in statistical data output and notably stronger change management.

The foundations of the IBSP are described in detail in a document written by the Enterprise Statistics Division ESD 2009. According to this document, the IBSP must be unified, harmonized and flexible enough to

• integrate new surveys;
• conduct industry-based surveys as well as activity-based surveys; and
• have the choice between enterprise, establishment and location as the sampling unit.

This document summarizes the sampling methodology adopted for the IBSP. Each of the main steps of the sampling process will be detailed and the methodology implemented will be discussed.

Two-phase sampling

Some surveys that will integrate into the IBSP are facing situations where the information available on the BR is either not up-to-date or insufficient for the needs of the survey. For instance the industrial classification on the BR may not be consistently up-to-date across all units or the survey may require extra information such as commodities produced by the business to make its sampling process more efficient.

In order to deal with this, the IBSP offers surveys the possibility of using a two-phase sampling strategy. Surveys choosing to do two-phase sampling are encouraged to join the main phase 1 survey, referred to as the Business Activity, Expenditure and Output (BAEO) survey. Some surveys for which a two-phase sampling plan is not appropriate will have the option of using a single-phase sampling strategy. The objectives of any phase 2 survey must be known in order to ensure that the phase 1 sample (on which the phase 2 surveys depend) will be large enough to satisfy them. The size of the phase 1 sample is also quite important for negative coordination considerations in phase 2.

Frame

One of the basic assumptions of the IBSP in terms of frame information is that all the necessary information from the BR or survey data is available and up-to-date at the time of phase 1 sampling. No updates to the frame information are permitted within the sampling process.

Use of additional information

In order to create the frame for a survey, it can also be useful to refer to information from the survey's previous cycles or information from the survey's first phase. For instance, this will be the case for the phase 2 surveys that use the BAEO survey as a first phase. When creating the frame for these phase 2 surveys, the sampling units to be included will be the ones selected as part of the BAEO sample.
Also, for the purpose of sample coordination, it may be required to access sample files from other surveys in order to manage the coordination of samples between surveys to control response burden. It may also be useful to access sample files from previous occasions of the same survey in order to manage sample rotation between occasions of a single given survey. Furthermore, all second-phase surveys will require information from their first-phase survey to define the frame.

Unit hierarchy and size

Businesses on the BR are made up of four statistical levels (i.e. enterprise, company, establishment or location). Each survey must define the level at which the proportions of the total size that comes from the unit (contributions) will be considered at sampling (targeted operating entity level) as well as the level of the unit that will be selected at sampling (sampling unit level) and estimation will be done.

Targeted operating entities and sampling units

The targeted operating entity and sampling unit levels are identified in the metadata and can be any of the statistical levels from the BR. The only restriction is that the sampling unit level may not be lower in the hierarchy than the targeted operating entity level.

Sampling size measures for targeted operating entities

For targeted operating entities, the default size measure is revenue-based. Size concepts other than revenue can also be used and can come directly from the BR or be derived based on variables present on the BR. The user could also specify a revenue-based size function different from the default one. It is also possible to use a combination of different size concepts such as revenue and assets, revenue and capacity or heads of cattle and heads of pigs for agricultural surveys (as is seen in the “Use of Multiple Size Concepts” section of this document).

Sampling Cells

For each survey, the basic level of stratification or cell is usually defined by the most refined domain for which estimates will be required. The purpose is to ensure that good quality estimates can be produced by taking this information into account at stratification.

The cell usually includes both industrial and geographical dimensions (where the geographical dimension typically represents the provinces). The level of industry varies between surveys. Extra dimensions can also be taken into account such as country of control or profit/non-profit status of the entity.

Targeted operating entities naturally fall into one cell based on the classification information available on the BR for that entity.

Importance factors

Once the size measure has been derived for all targeted operating entities, importance factors for each sampling cell j can be derived. The main application of these importance factors is to be able to better control the allocation of sample to the cells and emphasize higher data quality in more important cells. This section focuses on the definition of cell importance through the construction of importance factors; the details of the sample allocation are explained in a later section.

One choice of an importance factor (ωj) for sampling cell j under simple conditions is ωj= tˆ1/2xj . That is, the importance factor is equivalent to the square root of the estimated total size within the cell. This is described in Bankier (1988). In the case of the IBSP, a similar level of quality is required at the industry and province levels in order to better allocate Canada's taxes to the provinces. In order to take the multiple dimensions of the domains (i.e. provinces and industry) into account, the importance factors have to be defined in a different manner.

The importance factor ωj is based on a product of the importance with regards to each of its dimensions. That is, primary, secondary, tertiary, etc. dimensions will be defined and each dimension will be conditional on the dimensions that precede it in the hierarchy. In the case of the IBSP, geography is the primary dimension. If sampling cells were based solely on geography and not industrial classification, then the importance factor of cell j would be

Here, the numerator is the total amount of revenue in province j and the denominator is the total amount of revenue across all provinces (nationally). The exponent p is used to emphasize the role of the importance factors ωj across domains. Please refer to the section on sample allocation for an explanation of the interaction between importance factors and the objective function used for allocation.

For the IBSP, geography is not the only dimension of interest; industrial classification is also key. If we add industrial classification as a secondary dimension, then we have

The index j1 indicates that the first component, ωj1, is the primary factor. It is constructed with regards to some province j1, as described earlier in this section. The secondary component, ωj2, is conditional on the first. That is, the numerator is the total amount of revenue in industry j2 in province j1 and the denominator is the total amount of revenue across all industries but all within province j1. A sampling cell with more dimensions would have more components, all conditional on geography and industry as described here.

Cell stratification

One of the key aspects of the IBSP sample design is the desire to be enterprise-centric. That is, within a particular survey of the IBSP, it is important to either sample all eligible targeted operating entities within an enterprise or to sample none at all. By ensuring that all targeted operating entities associated with an enterprise are pulled together into a single sampling unit, it is both easier to coordinate samples across surveys and draw enterprise-centric samples without the cumbersome network sampling approach of the UES, a process that greatly complicated estimation. For simple enterprises with a single establishment, there is a one-to-one relationship between the enterprise's sampling unit and a sampling cell. However, this relationship for complex enterprises is one-to-many and therefore it is not straightforward to define to which sampling cell each sampling unit should be assigned.

In business surveys where the distribution of revenue among units in the population tends to be highly skewed (revenue being a quantity correlated to many key estimates), selecting larger units to the sample with greater probability increases both the quality of estimates and the efficiency of the sample. With this in mind, the choice of the sampling cell to which a complex enterprise's sampling unit will be stratified is taken to be a function of the proportion of revenue within each sampling cell that can be attributed to the enterprise as well as the sampling cells' importance factors.

For the IBSP, the size measure of sampling unit i is defined as

where

• ωj represents the importance factor of sampling cell (domain) j,
• xji is the total amount of size in sampling cell j of all targeted operating entities in sampling unit i, and
• txj represents the total size of sampling cell j.

The term

is referred to as the contribution of sampling unit i to sampling cell j. The sampling cell j for which the contribution of sampling unit i in (4) is a maximum is the cell in which the sampling unit should be stratified.

The function applied to the contributions (4) ensures that the total size of sampling unit i is dictated primarily by its largest cellular contribution, but also that additional weight is added on due to the unit's other contributions. Note that this function converts the sizes of the targeted operating entities (in dollars) into a unitless decimal value that is difficult to interpret.

Given that the scope and coverage of IBSP surveys change across sampling phases, it is necessary to re-evaluate the stratification of complex sampling units at each phase to ensure the larger units are being handled in the most advantageous way possible.

Use of Multiple Size Concepts

Some survey programs require the use of more than one concept to define the size of units in their population. For example, the Annual Electric Power Generating Stations survey uses both revenue and electrical capacity while the Livestock survey measures size using heads of cattle, sheep and pigs. In order to successfully integrate these programs into the IBSP, it is necessary to allow the use of multiple size concepts to derive the overall size of a unit.

The current sampling system is not flexible enough to allow for multiple passes through the sampling processes. Furthermore, some difficulties exist in mapping a multivariate size measure into a single size measure for stratification and sampling purposes. To circumvent these issues, it was decided to consider each size concept as another level of the cell stratification. The overall process itself would not be disturbed as, by default, the subroutines described further along in this document (such as Take-None threshold definition and size stratification) are executed sampling cell by sampling cell.

As an example, consider a targeted operating entity in NAICS 111111 and Province P raising both cattle and pigs. This entity would be represented by one entity placed in the 111111×P×Cattle cell with a size based on head of cattle only and a second entity placed in the 111111×P×Pigs cell with a size based on number of pigs. The size measures are standardized in order to avoid differences in scale between different concepts. The contributions of each operating entity towards their cell memberships (as well as that of other targeted operating entities in the sampling unit, if applicable) are calculated to determine the sampling cell in which the sampling unit should be stratified. Two advantages of this classification are that sampling units are classified in line with their dominant industry/geography combination and, because every cell has a different size concept component associated with it, the sampling units get classified in line with their dominant size concept. The standardization and normalization of sizes allows the use of a single size measure during the sampling process.

All of the ensuing steps of the sampling process described hereafter continue as in the univariate case. Care must be taken though to restructure the final sample files in order to avoid duplicating the operating entities (once for each size measure). The additional size measures can appear on each record but if they do, they appear as different variables of size that were used in the process.

Take-None

The Royce-Maranda algorithm as described in Royce and Maranda (1998) is the method used by the IBSP to reduce the response burden on small units by excluding them from the sample. This method is part of Statistics Canada's new Generalized Sampling system (G-). The user has to provide a list containing the exclusion thresholds, and G- determines the appropriate exclusion threshold for each cell.

The first step of the process is to assess which targeted operating entities should be Take-None. In order to do that, in each cell, targeted operating entities are sorted in descending order based on their revenue. A threshold is selected in such a way as to retain at least 90% of the revenue in each cell unless the minimum threshold eliminates more than 10% of the cell's revenue. The level of exclusion can be controlled but it is assumed to be 10% for all IBSP surveys.

Once the status of each targeted operating entity of the population has been assessed, the status of the sampling unit as a whole has to be evaluated. Since sampling units can consist of a mix of Take-None and eligible targeted operating entities, a rule is required to decide what to do with such cases. To keep the exclusion below the targeted 10% level, the rule is to exclude the sampling unit only if all targeted operating entities belonging to that sampling unit are Take-None based on the previous assessment.

The assessment of the Take-None is not redone when processing a second-phase survey. Targeted operating entities retain their Take-None status from the first phase and the sampling unit's status is determined in the same way as described in the previous paragraph. If a sampling unit becomes Take-None at the second phase, it will undergo a special treatment. None of these units will receive a questionnaire and financial data will be obtained from tax while characteristic information will either be zeroed or imputed.

Must-Take Units

Given the skewed nature of the distribution of revenue in economic surveys, it is essential that certain influential units that cannot be represented by other units in the population be sampled. This ensures that these influential units' data are included in the final estimates. Revenue-based estimates aside, there are also some smaller units that are equally crucial for characteristic estimates. In both cases, a mechanism exists to allow particular units to be sampled with certainty. The specified units are placed in a single Must-Take stratum in which all units are selected into the sample.

There are other cases where it is advantageous to put units in the Must-Take stratum, such as taking a census in a cell or survey, needing to produce an estimate from a cell containing an extremely small number of units, or identifying a unit as a large outlier. In total, there are eight ways in which a targeted operating entity can become Must-Take throughout the IBSP sampling process. They are as follows.

1. Subject matter experts can specify the unit directly
2. Must-take criteria set up in the metadata identify the unit (the default criterion targets sampling units with contributions in at least six unique sampling cells)
3. The unit belongs to a sampling unit in which another unit was identified by one of the two methods above
4. The unit is a member of a sampling cell containing fewer than ten sampling units above the exclusion threshold. (see the section on Small Cells)
5. The unit is a member of a stratum of five or fewer sampling units.
6. The unit is in a sampling unit that is a large outlier within its sampling cell.
7. The unit is in a census survey
8. The unit is in a frame cross-classification containing a total of one or two units and is therefore critical to estimation.

Note that, as per case 3, all targeted operating entities in a sampling unit in which one of the targeted operating entities is identified as an outlier will also be flagged as a Must-Take unit.

Special units

Some classes of units may be in-scope for some IBSP surveys, but do not need to pass through every step of the sampling process. These “special units” are subject to special treatments to avoid having them interfere with the sampling process as it is applied to the remainder of the units.

Size stratification

After the sets of take-none, must-take and special units within each cell have been defined, the remaining units form the set of eligible units from which the sample will be drawn. However, if the sample is drawn within each cell as-is, the skewed distributions of revenue are such that a relatively large number of units will need to be sampled in order to target a reasonable level of quality within each cell. In order to increase the efficiency of the sample, units in the take-some strata are first stratified by size in order to group similarly-sized units together. The sample selection within each cell will then be conducted one stratum at a time.

The classic method of stratification used for the UES was Lavallée-Hidiroglou stratification (Lavallée and Hidiroglou, 1988). An advantage of using this method for stratification is that sample allocation is also performed at the same time. However, a required input for this method is an a priori knowledge of the target levels of quality and the outputs are a set of stratum bounds and sample sizes for each stratum which minimizes the overall sample size. In the IBSP, target quality levels are not known as inputs. Rather, the targeted sample size is used as an input and the target quality becomes an output. As a result, alternative methods for size stratification and sample allocation are required.

The Geometric Method of stratification (Gunning and Horgan, 2004) is a very simple method that requires only a distribution of size values and a desired number of strata in order to function. The stratum bounds are derived with the intention of equalizing the coefficient of variation (CV) of size within each stratum. That is, if in stratum hSyh=∑Nhi=1Yhi−Y−hNh−−−−−−−−−−−√ is the standard deviation of y, Y−h=1Nh∑Nhi=1Yhi is the average value of y and CVh=Syh/Y−h is the CV of y, then the K stratum bounds are chosen such that

.

The formula used by the Geometric Method to establish the stratum boundaries is

where

• minsize and maxsize are the minimum and maximum sampling unit sizes, respectively, in cell j
• K is the total number of bounds to be derived in cell j
• k is the index of the bound (1,..., K).

It was shown in Li (2012) that the Geometric method was sensitive to both small and large outliers. Extreme values at either end of the distribution could have drastic effects on the values of the stratum bounds. As a result, an outlier detection functionality was developed to precede the stratification procedure. Both large and small outliers were detected according to the Sigma Gap method. Hellec (2013) determined that the global Sigma Gap parameter λ should be set to 60. This parameter is applied indiscriminately to all sampling cells after removal of previously-defined Must-Take units. After the outlier detection process is run in each cell, both types of outliers are set aside and the remaining distribution is used to derive stratum bounds. Once the bounds are derived, the small outliers are replaced in the small unit strata in their respective cells while the large outliers are assigned to the Must-Take stratum.

In most cases, the value of K in (5) is set to 3 in order to partition each cell into three size strata: small, medium and large units. Again in contrast to the methodology put in place for the UES, the Geometric Method does not assume that the stratum of large units will be a Take-All stratum (a sampling fraction of 100%). Rather, each sampling stratum will be treated as a Take-Some stratum in which the sampling fraction can take on any value greater than 0% (including possibly 100%), so long as the sampling constraints are respected. The optimization algorithm executed during sample allocation will dictate which Take-Some strata warrant a sampling fraction of 100% (based on the variability of sampling unit sizes).

Small cells

Statistics Canada is mandated to produce estimates in all of the cross-classifications of provinces and industrial classification variants defined as domains of estimation for the IBSP. However, some of the sampling cells used to represent these domains can contain very few units. In order to produce reasonable estimates within a cell, it is necessary to have a minimum number of responding units. Partitioning some cells into three size strata, sampling less than 100% of the units in these strata and then being subjected to non-response can lead to some scenarios where estimates of reasonable quality are not possible. As a result, it was necessary to develop custom strategies to allocate samples in particularly small cells. In this section, when discussing the sizes of cells, it is the number of sampling units that are eligible for sampling after removing Must-Take units that is taken into account.

Targeted operating entities that naturally stratify into sampling cells with 1 or 2 sampling units will all be made Must-Take. Being a member of such a small estimation domain has a negative impact on the performance of the sample allocation methodology and therefore it is best to simply exclude them from that process by making them Must-Take.

In cells containing fewer than 10 sampling units, all units will also be made Must-Take. For surveys where data can be tax replaced, data will be collected for important cells. A cell is deemed to be important if its importance factor is above the 50th percentile of all cells within the same province or industry. For cells that are less important, no collection will take place and tax data will be used for the financial portion of the questionnaire. The characteristic portion will either be zeroed or imputed in these cases. If the survey cannot perform tax replacement, all units will be collected.

In cells with 10 to 29 sampling units, the number of size strata will be reduced from 3 to 2 (Geometric Method applied with K=2). Sample selection in these 2-stratum sampling cells will occur as in normally-stratified sampling cells.

Sample allocation

For the IBSP, an enterprise may contribute to several industries and/or provinces. If we consider the amount that an enterprise contributes to these sampling cells as variable values, then a multivariate allocation scheme needs to be used to allocate the sample to the stratified population. A power allocation method will be used in order to obtain quality estimates at both the industry and provincial levels. The method is described in Bankier (1998) and Särndal, Swensson and Wretman (2003).

Multivariate power allocation can be set up in two ways. One can seek to either:

1. minimize a cost function under precision constraints for each domain and variable, or
2. minimize a precision function for the domains under a fixed cost constraint.

As noted in the section on size stratification, the inputs for the survey will be quantities of available resources, rather than known quality targets. As a result, option 2 above is the approach that is taken. The function to be minimized is:

where πh, ωj and tˆxj represent the sampling fraction in stratum h, the importance factor for domain j and the estimator of the total of variable xj in the population. The quantity CV(tˆxj) represents the CV of the estimator. The only quantities that are adjusted in order to minimize the function are the πh which are present in CV(tˆxj)2.

For phase 1 of the IBSP, the domains j correspond roughly to the sampling cells. As noted in the section introducing the importance factors, ωj is defined conditionally such that ωj = (ωj1)(ωj2) with dimension j2 being conditional on j1. This allows us to express (6) as follows:

The powers p1 and p2 in the definitions of ωj1 and ωj2 serve to control the differences in target quality for domainsj1 and j2 . The quality indicator that the powers control is different from that of Bankier (1988). In that article, quality is expressed as a function of the CV whereas for the IBSP sampling, it is represented instead by a sum of squared CVs as in (7). Substituting for ωj1, we can express (7) as

Consider the power p1. if p1 is set to 0, then the same level of quality is targeted for each domain j1. If it is instead set to 1 then the quality targets will be higher for domains j1 with larger values of txj1 (the “more important” domains).

In order to ensure that estimates for all cells are of reasonable quality, a constraint on the maximum allowable coefficient of variation (CV) can be set. It should be noted that the CVs computed internally within G- that are compared against these quality constraints are conditional CVs and can be quite a bit higher than the effective CVs computed once the sample is actually selected.

Furthermore, in order to ensure the selection of a sufficient number of units in each strata as well as to prevent the negative impact of units with very large weights changing stratum between sampling and estimation, constraints can be set at the sample allocation stage. The constraints that have been implemented translate a user-defined upper bound on weights into a minimum number of units to be allocated to each type of strata.

The implementation of either of these types of constraints moves the G- solution away from optimality. Therefore, the sample allocation will first be run without the use of either CV or maximum weight constraints. The CVs and weights will then be evaluated and if issues are found the allocation will be rerun with constraints in place. The only exception is for the BAEO (phase 1) survey, in which maximum weight constraints are generally set at fixed levels for each of the possible size strata. These constraints are relaxed for some industry groups (corresponding to the second-phase surveys) where the population makeup prevents convergence of the allocation program for the default maximum weight values. Note that these constraints can be adjusted by users.

All units stratified in the Must-Take stratum are given sampling probabilities of πh=1. These feed into the sample selection module to ensure that a census of units in this stratum is drawn.

Sample selection and coordination

The default method for sample selection in the IBSP is Bernoulli sampling. This method has been chosen because it simplifies the variance computation while simplifying sample coordination and allowing for combination of samples. In some cases, however, the Bernoulli selection may yield an insufficient sample in a particular stratum. To mitigate this risk, a Simple Random Sample (SRS) is used in place of the Bernoulli sample when the number of selected units drops below the specified threshold of 2.

Through the use of G-, the IBSP will allow sample coordination between the occasions of a given survey as well as between IBSP surveys. As it is the only method available in G- to do sample coordination at this point, sequential sampling will be used to manage sample coordination. This method uses Permanent Random Numbers (PRNs) to select the sample. By selecting different starting points, it allows for different types of sample coordination.

Eventually, it will be required to have some sample rotation implemented. The strategy that is currently envisioned to achieve that goal is to shift the start of the sampling window for the selection of the BAEO sample by the desired amount and to select the second phase surveys' samples with maximum overlap with their previous occasion. This will yield the expected amount of rotation in the second phase as shown in Paulus (2014).

Treatment of Dead Units

In the case of drawing a sample for cycle 2 or beyond of a repeated survey that controls overlap across cycles, it is possible that the death rate outside the sampled portion is understated as compared to the rate in the sampled portion (due to a number of deaths that are only known due to survey feedback). In order to reduce the chance of this repeated sampling resulting in a biased estimate, it is necessary to manipulate the frame in order to stabilize the weights across survey occasions (equivalent to ensuring that the death rates are constant in both portions of the population across cycles). This could entail reintroducing known dead, previously-sampled units back onto the frame (though never doing so for units whose death was indentified via an independent source) or selecting units in the unsampled portion of the population and treating them as deaths. Note that the term “death” here refers to any sort of change to a unit that would make it in-scope for one cycle but out-of-scope for the next (including NAICS changes, Business Status changes or changes to the population criteria). NAICS changes leaving a unit in-scope for a survey are not considered deaths.

Should the frame manipulation require the reintroduction of known dead units to the frame, these dead units may be sampled as any other unit and may therefore carry a weight, but they will not be sent a questionnaire under any circumstance.

Bibliography

Baillargeon, S., Rivest, L.-P., and Ferland, M. (2007). Stratification en enquêtes entreprises : une revue et quelques avancées. Proceedings of the Survey Methods Section, Statistical Society of Canada

Bankier, M. D. (1988). Power allocations: Determining Sample Sizes for Subnational Areas. The American Statistician,

Demnati, A., and Turmelle, C. (2011). Proposed Sampling and Estimation Methodology. Internal Statistics Canada document

ESD. (2009). "Integrated Business Statistics Program - Blueprint". Internal Statistics Canada document

Gaudet, J. (2014). Contact Strategy for the RY2014 Business Activity, Expenditures and Output (BAEO) Survey. Internal Statistics Canada document

Gunning, P., and Horgan, J. M. (2004). A New Algorithm for the Construction of Stratum Boundaries in Skewed Populations. Survey Methodology, 30, pp. 159-166.

Hellec, S. (2013). Diagnostic et contribution à la méthodologie d'échantillonnage du PISE. Internal Statistics Canada document.

Lavallée, P. and Hidiroglou, M. A. (1988). On the stratification of skewed populations. Survey Methodology, 14, pp. 33-43.

Li, Y. (2012). Detection and treatment of outliers in the creation of the IBSP sampling frame. Internal Statistics Canada document.

Paulus, P. (2014). Rotation et coordination des échantillons dans le cadre du Programme intégré de la statistique des entreprises. Internal Statistics Canada document.

Royce, D., and Maranda, F. (1998). Groupe de travail sur l'acquisition des données auprès des entrerpises. . Internal Statistics Canada document.

Särndal, C.-E., Swensson, B., and Wretman, J. (2003). Model Assisted Survey Sampling.

The Monthly Survey of Manufacturing (MSM) publishes statistical series for manufacturers – sales of goods manufactured, inventories, unfilled orders and new orders. The values of these characteristics represent current monthly estimates of the more complete Annual Survey of Manufactures and Logging (ASML) data.

The MSM is a sample survey of approximately 10,500 Canadian manufacturing establishments, which are categorized into over 220 industries. Industries are classified according to the 2012 North American Industrial Classification System (NAICS). Seasonally adjusted series are available for the main aggregates.

An establishment comprises the smallest manufacturing unit capable of reporting the variables of interest. Data collected by the MSM provides a current ‘snapshot’ of sales of goods manufactured values by the Canadian manufacturing sector, enabling analysis of the state of the Canadian economy, as well as the health of specific industries in the short- to medium-term. The information is used by both private and public sectors including Statistics Canada, federal and provincial governments, business and trade entities, international and domestic non-governmental organizations, consultants, the business press and private citizens. The data are used for analyzing market share, trends, corporate benchmarking, policy analysis, program development, tax policy and trade policy.

1. Sales of goods manufactured

Sales of goods manufactured (formerly shipments of goods manufactured) are defined as the value of goods manufactured by establishments that have been shipped to a customer. Sales of goods manufactured exclude any wholesaling activity, and any revenues from the rental of equipment or the sale of electricity. Note that in practice, some respondents report financial transactions rather than payments for work done. Sales of goods manufactured are available by 3-digit NAICS, for Canada and broken down by province.

For the aerospace product and parts, and shipbuilding industries, the value of production is used instead of sales of goods manufactured. This value is calculated by adjusting monthly sales of goods manufactured by the monthly change in inventories of goods / work in process and finished goods manufactured. Inventories of raw materials and components are not included in the calculation since production tries to measure "work done" during the month. This is done in order to reduce distortions caused by the sales of goods manufactured of high value items as completed sales.

2. Inventories

Measurement of component values of inventory is important for economic studies as well as for derivation of production values. Respondents are asked to report their book values (at cost) of raw materials and components, any goods / work in process, and finished goods manufactured inventories separately. In some cases, respondents estimate a total inventory figure, which is allocated on the basis of proportions reported on the ASML. Inventory levels are calculated on a Canada‑wide basis, not by province.

3. Orders

a) Unfilled Orders

Unfilled orders represent a backlog or stock of orders that will generate future sales of goods manufactured assuming that they are not cancelled. As with inventories, unfilled orders and new orders levels are calculated on a Canada‑wide basis, not by province.

The MSM produces estimates for unfilled orders for all industries except for those industries where orders are customarily filled from stocks on hand and order books are not generally maintained. In the case of the aircraft companies, options to purchase are not treated as orders until they are entered into the accounting system.

b) New Orders

New orders represent current demand for manufactured products. Estimates of new orders are derived from sales of goods manufactured and unfilled orders data. All sales of goods manufactured within a month result from either an order received during the month or at some earlier time. New orders can be calculated as the sum of sales of goods manufactured adjusted for the monthly change in unfilled orders.

4. Non-Durable / Durable goods

a) Non-durable goods industries include:

Food (NAICS 311),
Beverage and Tobacco Products (312),
Textile Mills (313),
Textile Product Mills (314),
Clothing (315),
Leather and Allied Products (316),
Paper (322),
Printing and Related Support Activities (323),
Petroleum and Coal Products (324),
Chemicals (325) and
Plastic and Rubber Products (326).

b) Durable goods industries include:

Wood Products (NAICS 321),
Non-Metallic Mineral Products (327),
Primary Metals (331),
Fabricated Metal Products (332),
Machinery (333),
Computer and Electronic Products (334),
Electrical Equipment, Appliance and Components (335),
Transportation Equipment (336),
Furniture and Related Products (337) and
Miscellaneous Manufacturing (339).

Survey design and methodology

Concept Review

In 2007, the MSM terminology was updated to be Charter of Accounts (COA) compliant. With the August 2007 reference month release the MSM has harmonized its concepts to the ASML. The variable formerly called “Shipments” is now called “Sales of goods manufactured”. As well, minor modifications were made to the inventory component names. The definitions have not been modified nor has the information collected from the survey.

Methodology

The latest sample design incorporates the 2012 North American Industrial Classification Standard (NAICS). Stratification is done by province with equal quality requirements for each province. Large size units are selected with certainty and small units are selected with a probability based on the desired quality of the estimate within a cell.

The estimation system generates estimates using the NAICS. The estimates will also continue to be reconciled to the ASML. Provincial estimates for all variables will be produced. A measure of quality (CV) will also be produced.

Components of the Survey Design

Target Population and Sampling Frame

Statistics Canada’s business register provides the sampling frame for the MSM. The target population for the MSM consists of all statistical establishments on the business register that are classified to the manufacturing sector (by NAICS). The sampling frame for the MSM is determined from the target population after subtracting establishments that represent the bottom 5% of the total manufacturing sales of goods manufactured estimate for each province. These establishments were excluded from the frame so that the sample size could be reduced without significantly affecting quality.

The Sample

The MSM sample is a probability sample comprised of approximately 10,500 establishments. A new sample was chosen in the autumn of 2012, followed by a six-month parallel run (from reference month September 2012 to reference month February 2013). The refreshed sample officially became the new sample of the MSM effective in December 2012.

This marks the first process of refreshing the MSM sample since 2007. The objective of the process is to keep the sample frame as fresh and up-to date as possible. All establishments in the sample are refreshed to take into account changes in their value of sales of goods manufactured, the removal of dead units from the sample and some small units are rotated out of the GST-based portion of the sample, while others are rotated into the sample.

Prior to selection, the sampling frame is subdivided into industry-province cells. For the most part, NAICS codes were used. Depending upon the number of establishments within each cell, further subdivisions were made to group similar sized establishments’ together (called stratum). An establishment’s size was based on its most recently available annual sales of goods manufactured or sales value.

Each industry by province cell has a ‘take-all’ stratum composed of establishments sampled each month with certainty. This ‘take-all’ stratum is composed of establishments that are the largest statistical enterprises, and have the largest impact on estimates within a particular industry by province cell. These large statistical enterprises comprise 45% of the national manufacturing sales of goods manufactured estimates.

Each industry by province cell can have at most three ‘take-some’ strata. Not all establishments within these stratums need to be sampled with certainty. A random sample is drawn from the remaining strata. The responses from these sampled establishments are weighted according to the inverse of their probability of selection. In cells with take-some portion, a minimum sample of 10 was imposed to increase stability.

The take-none portion of the sample is now estimated from administrative data and as a result, 100% of the sample universe is covered. Estimation of the take-none portion also improved efficiency as a larger take-none portion was delineated and the sample could be used more efficiently on the smaller sampled portion of the frame.

Data Collection

Only a subset of the sample establishments is sent out for data collection. For the remaining units, information from administrative data files is used as a source for deriving sales of goods manufactured data. For those establishments that are surveyed, data collection, data capture, preliminary edit and follow-up of non-respondents are all performed in Statistics Canada regional offices. Sampled establishments are contacted by mail or telephone according to the preference of the respondent. Data capture and preliminary editing are performed simultaneously to ensure the validity of the data.

In some cases, combined reports are received from enterprises or companies with more than one establishment in the sample where respondents prefer not to provide individual establishment reports. Businesses, which do not report or whose reports contain errors, are followed up immediately.

Use of Administrative Data

Managing response burden is an ongoing challenge for Statistics Canada. In an attempt to alleviate response burden, especially for small businesses, Statistics Canada has been investigating various alternatives to survey taking. Administrative data files are a rich source of information for business data and Statistics Canada is working at mining this rich data source to its full potential. As such, effective the August 2004 reference month, the MSM reduced the number of simple establishments in the sample that are surveyed directly and instead, derives sales of goods manufactured data for these establishments from Goods and Services Tax (GST) files using a statistical model. The model accounts for the difference between sales of goods manufactured (reported to MSM) and sales (reported for GST purposes) as well as the time lag between the reference period of the survey and the reference period of the GST file.

Effective from the January 2013 reference month, the MSM derives sales of goods manufactured data for non-incorporated establishments (e.g. the self employed) from T1 files. A statistical model is used to transform T1 data into sales of goods manufactured data.

In conjunction with the most recent sample, effective December 2012, approximately 2,800 simple establishments were selected to represent the GST portion of the sample.

Inventories and unfilled orders estimates for establishments where sales of goods manufactured are GST-based are derived using the MSM’s imputation system. The imputation system applies to the previous month values, the month-to-month and year-to-year changes in similar firms which are surveyed. With the most recent sample, the eligibility rules for GST-based establishments were refined to have more GST-based establishments in industries that typically carry fewer inventories. This way the impact of the GST-based establishments which require the estimation of inventories, will be kept to a minimum.

Detailed information on the methodology used for modelling sales of goods manufactured from administrative data sources can be found in the ‘Monthly Survey of Manufacturing: Use of Administrative Data’ (Catalogue no. 31-533-XIE) document.

Data quality

Statistical Edit and Imputation

Data are analyzed within each industry-province cell. Extreme values are listed for inspection by the magnitude of the deviation from average behavior. Respondents are contacted to verify extreme values. Records that fail statistical edits are considered outliers and are not used for imputation.

Values are imputed for the non-responses, for establishments that do not report or only partially complete the survey form. A number of imputation methods are used depending on the variable requiring treatment. Methods include using industry-province cell trends, historical responses, or reference to the ASML. Following imputation, the MSM staff performs a final verification of the responses that have been imputed.

Revisions

In conjunction with preliminary estimates for the current month, estimates for the previous three months are revised to account for any late returns. Data are revised when late responses are received or if an incorrect response was recorded earlier.

Estimation

Estimates are produced based on returns from a sample of manufacturing establishments in combination with administrative data for a portion of the smallest establishments. The survey sample includes 100% coverage of the large manufacturing establishments in each industry by province, plus partial coverage of the medium and small-sized firms. Combined reports from multi-unit companies are pro-rated among their establishments and adjustments for progress billings reflect revenues received for work done on large item contracts. Approximately 2,800 of the sampled medium and small-sized establishments are not sent questionnaires, but instead their sales of goods manufactured are derived by using revenue from the GST files. The portion not represented through sampling – the take-none portion - consist of establishments below specified thresholds in each province and industry. Sub-totals for this portion are also derived based on their revenues.

Industry values of sales of goods manufactured, inventories and unfilled orders are estimated by first weighting the survey responses, the values derived from the GST files and the imputations by the number of establishments each represents. The weighted estimates are then summed with the take-none portion. While sales of goods manufactured estimates are produced by province, no geographical detail is compiled for inventories and orders since many firms cannot report book values of these items monthly.

Benchmarking

Up to and including 2003, the MSM was benchmarked to the Annual Survey of Manufactures and Logging (ASML). Benchmarking was the regular review of the MSM estimates in the context of the annual data provided by the ASML. Benchmarking re-aligned the annualized level of the MSM based on the latest verified annual data provided by the ASML.

Significant research by Statistics Canada in 2006-2007 was completed on whether the benchmark process should be maintained. The conclusion was that benchmarking of the MSM estimates to the ASML should be discontinued. With the refreshing of the MSM sample in 2007, it was determined that benchmarking would no longer be required (retroactive to 2004) because the MSM now accurately represented 100% of the sample universe. Data confrontation will continue between MSM and ASML to resolve potential discrepancies.

As of the December 2012 reference month, a new sample was introduced. It is standard practice that every few years the sample is refreshed to ensure that the survey frame is up to date with births, deaths and other changes in the population. The refreshed sample is linked at the detailed level to prevent data breaks and to ensure the continuity of time series. It is designed to be more representative of the manufacturing industry at both the national and provincial levels.

Data confrontation and reconciliation

Each year, during the period when the Annual Survey of Manufactures and Logging section set their annual estimates, the MSM section works with the ASML section to confront and reconcile significant differences in values between the fiscal ASML and the annual MSM at the strata and industry level.

The purpose of this exercise of data reconciliation is to highlight and resolve significant differences between the two surveys and to assist in minimizing the differences in the micro-data between the MSM and the ASML.

Sampling and Non-sampling Errors

The statistics in this publication are estimates derived from a sample survey and, as such, can be subject to errors. The following material is provided to assist the reader in the interpretation of the estimates published.

Estimates derived from a sample survey are subject to a number of different kinds of errors. These errors can be broken down into two major types: sampling and non-sampling.

1. Sampling Errors

Sampling errors are an inherent risk of sample surveys. They result from the difference between the value of a variable if it is randomly sampled and its value if a census is taken (or the average of all possible random values). These errors are present because observations are made only on a sample and not on the entire population.

The sampling error depends on factors such as the size of the sample, variability in the population, sampling design and method of estimation. For example, for a given sample size, the sampling error will depend on the stratification procedure employed, allocation of the sample, choice of the sampling units and method of selection. (Further, even for the same sampling design, we can make different calculations to arrive at the most efficient estimation procedure.) The most important feature of probability sampling is that the sampling error can be measured from the sample itself.

2. Non-sampling Errors

Non-sampling errors result from a systematic flaw in the structure of the data-collection procedure or design of any or all variables examined. They create a difference between the value of a variable obtained by sampling or census methods and the variable’s true value. These errors are present whether a sample or a complete census of the population is taken. Non-sampling errors can be attributed to one or more of the following sources:

a) Coverage error: This error can result from incomplete listing and inadequate coverage of the population of interest.

b) Data response error: This error may be due to questionnaire design, the characteristics of a question, inability or unwillingness of the respondent to provide correct information, misinterpretation of the questions or definitional problems.

c) Non-response error: Some respondents may refuse to answer questions, some may be unable to respond, and others may be too late in responding. Data for the non-responding units can be imputed using the data from responding units or some earlier data on the non-responding units if available.

The extent of error due to imputation is usually unknown and is very much dependent on any characteristic differences between the respondent group and the non-respondent group in the survey. This error generally decreases with increases in the response rate and attempts are therefore made to obtain as high a response rate as possible.

d) Processing error: These errors may occur at various stages of processing such as coding, data entry, verification, editing, weighting, and tabulation, etc. Non-sampling errors are difficult to measure. More important, non-sampling errors require control at the level at which their presence does not impair the use and interpretation of the results.

Measures have been undertaken to minimize the non-sampling errors. For example, units have been defined in a most precise manner and the most up-to-date listings have been used. Questionnaires have been carefully designed to minimize different interpretations. As well, detailed acceptance testing has been carried out for the different stages of editing and processing and every possible effort has been made to reduce the non-response rate as well as the response burden.

Measures of Sampling and Non-sampling Errors

1. Sampling Error Measures

The sample used in this survey is one of a large number of all possible samples of the same size that could have been selected using the same sample design under the same general conditions. If it was possible that each one of these samples could be surveyed under essentially the same conditions, with an estimate calculated from each sample, it would be expected that the sample estimates would differ from each other.

The average estimate derived from all these possible sample estimates is termed the expected value. The expected value can also be expressed as the value that would be obtained if a census enumeration were taken under identical conditions of collection and processing. An estimate calculated from a sample survey is said to be precise if it is near the expected value.

Sample estimates may differ from this expected value of the estimates. However, since the estimate is based on a probability sample, the variability of the sample estimate with respect to its expected value can be measured. The variance of an estimate is a measure of the precision of the sample estimate and is defined as the average, over all possible samples, of the squared difference of the estimate from its expected value.

The standard error is a measure of precision in absolute terms. The coefficient of variation (CV), defined as the standard error divided by the sample estimate, is a measure of precision in relative terms. For comparison purposes, one may more readily compare the sampling error of one estimate to the sampling error of another estimate by using the coefficient of variation.

In this publication, the coefficient of variation is used to measure the sampling error of the estimates. However, since the coefficient of variation published for this survey is calculated from the responses of individual units, it also measures some non-sampling error.

The formula used to calculate the published coefficients of variation (CV) in Table 1 is:

CV(X) = S(X)/X

where X denotes the estimate and S(X) denotes the standard error of X.

In this publication, the coefficient of variation is expressed as a percentage.

Confidence intervals can be constructed around the estimate using the estimate and the coefficient of variation. Thus, for our sample, it is possible to state with a given level of confidence that the expected value will fall within the confidence interval constructed around the estimate. For example, if an estimate of $12,000,000 has a coefficient of variation of 10%, the standard error will be $1,200,000 or the estimate multiplied by the coefficient of variation. It can then be stated with 68% confidence that the expected value will fall within the interval whose length equals the standard deviation about the estimate, i.e., between $10,800,000 and $13,200,000. Alternatively, it can be stated with 95% confidence that the expected value will fall within the interval whose length equals two standard deviations about the estimate, i.e., between $9,600,000 and $14,400,000.

Text table 1 contains the national level CVs, expressed as a percentage, for all manufacturing for the MSM characteristics. For CVs at other aggregate levels, contact the Dissemination and Frame Services Section at (613) 951-9497, toll free: 1-866-873-8789 or by e-mail at manufact@statcan.gc.ca.

Text table 1: National Level CVs by Characteristic
Table summary
This table displays the results of Text table 1: National Level CVs by Characteristic. The information is grouped by MONTH (appearing as row headers), Sales of goods manufactured, Raw materials and components inventories, Goods / work in process inventories, Finished goods manufactured inventories and Unfilled Orders, calculated using % units of measure (appearing as column headers).

MONTH	Sales of goods manufactured	Raw materials and components inventories	Goods / work in process inventories	Finished goods manufactured inventories	Unfilled Orders
	%
June 2014	0.51	0.90	1.03	0.94	0.72
July 2014	0.51	0.89	1.04	0.95	0.72
August 2014	0.52	0.92	1.01	0.97	0.71
September 2014	0.53	0.96	1.02	0.97	0.69
October 2014	0.51	0.97	0.98	0.96	0.67
November 2014	0.49	0.96	0.97	0.93	0.65
December 2014	0.53	1.00	0.97	0.99	0.69
January 2015	0.54	1.04	0.91	1.01	0.67
February 2015	0.52	1.05	0.91	1.09	0.64
March 2015	0.55	1.05	0.92	1.06	0.64
April 2015	0.55	1.05	0.92	1.08	0.65
May 2015	0.54	1.05	0.96	1.10	0.60
June 2015	0.57	1.02	0.97	1.14	0.63

2. Non-sampling Error Measures

The exact population value is aimed at or desired by both a sample survey as well as a census. We say the estimate is accurate if it is near this value. Although this value is desired, we cannot assume that the exact value of every unit in the population or sample can be obtained and processed without error. Any difference between the expected value and the exact population value is termed the bias. Systematic biases in the data cannot be measured by the probability measures of sampling error as previously described. The accuracy of a survey estimate is determined by the joint effect of sampling and non-sampling errors.

Sources of non-sampling error in the MSM include non-response error, imputation error and the error due to editing. To assist users in evaluating these errors, weighted rates are given in Text table 2. The following is an example of what is meant by a weighted rate. A cell with a sample of 20 units in which five respond for a particular month would have a response rate of 25%. If these five reporting units represented $8 million out of a total estimate of $10 million, the weighted response rate would be 80%.

The definitions for the weighted rates noted in Text table 2 follow. The weighted response and edited rate is the proportion of a characteristic’s total estimate that is based upon reported data and includes data that has been edited. The weighted imputation rate is the proportion of a characteristic’s total estimate that is based upon imputed data. The weighted GST data rate is the proportion of the characteristic’s total estimate that is derived from Goods and Services Tax files (GST files). The weighted take-none fraction rate is the proportion of the characteristic’s total estimate modeled from administrative data.

Text table 2 contains the weighted rates for each of the characteristics at the national level for all of manufacturing. In the table, the rates are expressed as percentages.

Text Table 2: National Weighted Rates by Source and Characteristic
Table summary
This table displays the results of Text Table 2: National Weighted Rates by Source and Characteristic. The information is grouped by Characteristics (appearing as row headers), Data source, Response or edited, Imputed, GST data and Take-none fraction, calculated using % units of measure (appearing as column headers).

Characteristics	Data source
	Response or edited	Imputed	GST data	Take-none fraction
	%
Sales of goods manufactured	84.7	3.9	7.1	4.2
Raw materials and components	76.7	18.3	0.0	5.0
Goods / work in process	83.8	12.4	0.0	3.8
Finished goods manufactured	80.1	15.1	0.0	4.8
Unfilled Orders	90.5	6.5	0.0	3.1

Joint Interpretation of Measures of Error

The measure of non-response error as well as the coefficient of variation must be considered jointly to have an overview of the quality of the estimates. The lower the coefficient of variation and the higher the weighted response rate, the better will be the published estimate.

Seasonal Adjustment

Economic time series contain the elements essential to the description, explanation and forecasting of the behavior of an economic phenomenon. They are statistical records of the evolution of economic processes through time. In using time series to observe economic activity, economists and statisticians have identified four characteristic behavioral components: the long-term movement or trend, the cycle, the seasonal variations and the irregular fluctuations. These movements are caused by various economic, climatic or institutional factors. The seasonal variations occur periodically on a more or less regular basis over the course of a year. These variations occur as a result of seasonal changes in weather, statutory holidays and other events that occur at fairly regular intervals and thus have a significant impact on the rate of economic activity.

In the interest of accurately interpreting the fundamental evolution of an economic phenomenon and producing forecasts of superior quality, Statistics Canada uses the X12-ARIMA seasonal adjustment method to seasonally adjust its time series. This method minimizes the impact of seasonal variations on the series and essentially consists of adding one year of estimated raw data to the end of the original series before it is seasonally adjusted per se. The estimated data are derived from forecasts using ARIMA (Auto Regressive Integrated Moving Average) models of the Box-Jenkins type.

The X-12 program uses primarily a ratio-to-moving average method. It is used to smooth the modified series and obtain a preliminary estimate of the trend-cycle. It also calculates the ratios of the original series (fitted) to the estimates of the trend-cycle and estimates the seasonal factors from these ratios. The final seasonal factors are produced only after these operations have been repeated several times. The technique that is used essentially consists of first correcting the initial series for all sorts of undesirable effects, such as the trading-day and the Easter holiday effects, by a module called regARIMA. These effects are then estimated using regression models with ARIMA errors. The series can also be extrapolated for at least one year by using the model. Subsequently, the raw series, pre-adjusted and extrapolated if applicable, is seasonally adjusted by the X-12 method.

The procedures to determine the seasonal factors necessary to calculate the final seasonally adjusted data are executed every month. This approach ensures that the estimated seasonal factors are derived from an unadjusted series that includes all the available information about the series, i.e. the current month's unadjusted data as well as the previous month's revised unadjusted data.

While seasonal adjustment permits a better understanding of the underlying trend-cycle of a series, the seasonally adjusted series still contains an irregular component. Slight month-to-month variations in the seasonally adjusted series may be simple irregular movements. To get a better idea of the underlying trend, users should examine several months of the seasonally adjusted series.

The aggregated Canada level series are now seasonally adjusted directly, meaning that the seasonally adjusted totals are obtained via X12-ARIMA. Afterwards, these totals are used to reconcile the provincial total series which have been seasonally adjusted individually.

For other aggregated series, indirect seasonal adjustments are used. In other words, their seasonally adjusted totals are derived indirectly by the summation of the individually seasonally adjusted kinds of business.

Trend

A seasonally adjusted series may contain the effects of irregular influences and special circumstances and these can mask the trend. The short term trend shows the underlying direction in seasonally adjusted series by averaging across months, thus smoothing out the effects of irregular influences. The result is a more stable series. The trend for the last month may be subject to significant revision as values in future months are included in the averaging process.

Real manufacturing sales of goods manufactured, inventories, and orders

Changes in the values of the data reported by the Monthly Survey of Manufacturing (MSM) may be attributable to changes in their prices or to the quantities measured, or both. To study the activity of the manufacturing sector, it is often desirable to separate out the variations due to price changes from those of the quantities produced. This adjustment is known as deflation.

Deflation consists in dividing the values at current prices obtained from the survey by suitable price indexes in order to obtain estimates evaluated at the prices of a previous period, currently the year 2007. The resulting deflated values are said to be “at 2007 prices”. Note that the expression “at current prices” refer to the time the activity took place, not to the present time, nor to the time of compilation.

The deflated MSM estimates reflect the prices that prevailed in 2007. This is called the base year. The year 2007 was chosen as base year since it corresponds to that of the price indexes used in the deflation of the MSM estimates. Using the prices of a base year to measure current activity provides a representative measurement of the current volume of activity with respect to that base year. Current movements in the volume are appropriately reflected in the constant price measures only if the current relative importance of the industries is not very different from that in the base year.

The deflation of the MSM estimates is performed at a very fine industry detail, equivalent to the 6-digit industry classes of the North American Industry Classification System (NAICS). For each industry at this level of detail, the price indexes used are composite indexes which describe the price movements for the various groups of goods produced by that industry.

With very few exceptions the price indexes are weighted averages of the Industrial Product Price Indexes (IPPI). The weights are derived from the annual Canadian Input-Output tables and change from year to year. Since the Input-Output tables only become available with a delay of about two and a half years, the weights used for the most current years are based on the last available Input-Output tables.

The same price index is used to deflate sales of goods manufactured, new orders and unfilled orders of an industry. The weights used in the compilation of this price index are derived from the output tables, evaluated at producer’s prices. Producer prices reflect the prices of the goods at the gate of the manufacturing establishment and exclude such items as transportation charges, taxes on products, etc. The resulting price index for each industry thus reflects the output of the establishments in that industry.

The price indexes used for deflating the goods / work in process and the finished goods manufactured inventories of an industry are moving averages of the price index used for sales of goods manufactured. For goods / work in process inventories, the number of terms in the moving average corresponds to the duration of the production process. The duration is calculated as the average over the previous 48 months of the ratio of end of month goods / work in process inventories to the output of the industry, which is equal to sales of goods manufactured plus the changes in both goods / work in process and finished goods manufactured inventories.

For finished goods manufactured inventories, the number of terms in the moving average reflects the length of time a finished product remains in stock. This number, known as the inventory turnover period, is calculated as the average over the previous 48 months of the ratio of end-of-month finished goods manufactured inventory to sales of goods manufactured.

To deflate raw materials and components inventories, price indexes for raw materials consumption are obtained as weighted averages of the IPPIs. The weights used are derived from the input tables evaluated at purchaser’s prices, i.e. these prices include such elements as wholesaling margins, transportation charges, and taxes on products, etc. The resulting price index thus reflects the cost structure in raw materials and components for each industry.

The raw materials and components inventories are then deflated using a moving average of the price index for raw materials consumption. The number of terms in the moving average corresponds to the rate of consumption of raw materials. This rate is calculated as the average over the previous four years of the ratio of end-of-year raw materials and components inventories to the intermediate inputs of the industry.