2020 submissions

Purpose: The purpose of this linkage is to create a reweighted LFS-IMDB database covering the 2002 to 2018 period and using this database to estimate labour market indicators (including, but not limited to, unemployment rates, participation rates, wages) by IMDB variables (including, but not limited to, immigration category and knowledge of official languages). The LFS-IMDB database will allow for the estimation of previously unknown longitudinal labour market indicators in Canada, such as labour force statuses of landed immigrants by category of immigration and by knowledge of official languages, without incurring any additional response burden on the respondents.

Output: A series of non-confidential aggregate statistical tables will be provided to Immigration, Refugees and Citizenship Canada (IRCC). All statistical tables will be vetted, to ensure conformity to the confidentiality provisions of the Statistics Act and conformity to the high quality standards of Statistics Canada, by Statistics Canada employees before being sent outside of Statistics Canada premises. In accordance with the Directive on Management of Statistical Microdata Files, the LFS-IMDB database will be retained on Statistics Canada premises until no longer required, at which time it will be destroyed.

Purpose: This project will assess the feasibility of linking data on workers from the Longitudinal Worker File (LWF) available at the Research Data Centres (RDCs) with data on employment insurance from the EI Status Vector File (EISV) available at the RDCs. If the record linkage is found to be of satisfactory quality, a record linkage key between the two files will be placed in the RDCs allowing researchers to link the LWF and EISV files. These linked files will cover 10% of Canadian taxfilers. The resulting linked data will provide a comprehensive view of individuals' interactions with the labour market and government Employment Insurance programs.

Output: A LWF – EISV linkage key will be made available for users at the RDCs. Once the RDC user combines the analytical linked data for research purposes using the linkage key, methodological and analytical findings resulting from the linked data will be used to prepare research papers for publication. Only non-confidential aggregate statistics that will not result in the identification of an individual person will be released outside of Statistics Canada and the Research Data Centres.

Purpose: The goal of this initiative is to create a database to facilitate research on topics related to temporary foreign workers and their impact on the Canadian labour market. The proposed linkage combines data from the Temporary Foreign Worker Program administrative files and the Canadian Employer-Employee Dynamics Database (CEEDD). This linkage will allow information on both the temporary foreign workers and firms that hire temporary foreign workers to be put together.

Output: Analytical findings from these linked datasets will be used to prepare research papers for publication and dissemination at ministries, research conferences and seminars. Only non-confidential aggregate statistics that cannot result in the identification of an individual, business, or organization will be released outside of Statistics Canada.

Purpose: The purpose of this project is to build a new microsimulation model which can be used to model retirement income. The current deliverable is a model which can be used to perform simulations of future outcomes of the Canada Pension Plan, as well as expected impacts of any changes to its provisions. It is expected that the model will be expanded in future development to encompass the rest of the retirement income system. This will allow governments and researchers to examine the outcomes of possible Canada Pension Plan policy changes and to project outcomes.

Output: The model, once built, will be available to the public. The development of the model will require both the creation of starting population databases, and the model development necessary to project the demographic and socio-economic evolution of the starting population into the future. Two versions of the starting population databases will be developed, a non-confidential version that will be publically releasable, and a larger, confidential database that the model will only be able to access at the RDCs. The confidential starting population database will not be available for other uses.

Purpose: Announced in Budget 2016, the federal government committed to developing a Performance Measurement Framework for Business Accelerators and Incubators (BAIs) in partnership with leading BAIs. As a core component of this measurement framework, this project proposes to link the enterprise data collected from BAIs to the LFE in order to enable the production of key performance indicators of the impact BAIs have on their client enterprises. Active partners from the BAI community have been heavily engaged in the development and execution of this initiative and expectations are high in terms of the value that will be added through this partnership with the Government.

The proposed project will link a set of seven external enterprise databases to Statistics Canada's Linkable File Environment to build a profile of BAIs client enterprises. To do so, researchers from Innovation, Science and Economic Development Canada (ISED) Small Business Branch will arrange for BAIs enterprise data to be provided to Statistics Canada's Centre for Special Business Projects for the linkage.

Output: A custom analytical report, based on the customized research database extracted from Statistics Canada's Linkable File Environment, will be produced by deemed employees of Statistics Canada.

Only non-confidential aggregate statistical outputs and analysis that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada.

Purpose: In 2018, the Government of Canada announced as part of its Innovation and Skills Plan, the creation of Economic Strategy Tables to support economic growth in six key sectors. One of these sectors was the Health and Bio-Sciences (Life Sciences) industry. Since the Life Sciences industry is not defined according to the North American Industry Classification System, statistics on its economic performance are not readily available. Linking Innovation, Science and Economic Development Canada's list of Life Sciences firms to Statistics Canada microdata will allow the creation of aggregate statistics for the industry, analysis of the Life Sciences innovation ecosystem, and the assessment of government initiatives to encourage innovation and growth. Statistics Canada sources to be linked include: Business Register, T2 Corporation Income Tax Return, T4 Statement of Remuneration Paid, Payroll Deduction Accounts, Trade by Exporter Characteristics, Trade by Importer Characteristics, and T2 Claim for Scientific Research and Experimental Development Carried out in Canada.

Output: Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. The information will be presented in the form of tables of regression results and summary statistics.

Purpose: The main objective of this project is to produce two custom tabulations for Agriculture and Agri-Food Canada (AAFC) to compare the characteristics and the economic performance of firms before and after receiving financing support related to the program stream entitle: "Trade Show Program". The analysis will be based mainly on research dataset created through the linkage of AAFC programs data to Statistics Canada Linkable File Environment (LFE). The comparison will be a breakdown by industrial sector for the referred period 2004-2017.

This collaborative project between AAFC and the Centre for Special Business Projects will demonstrate how leveraging data linkage methods to create and analyze research datasets can support ongoing AAFC policy and program development.

Output: The output will be in the form of profiling tables which compare the economic performance of businesses that received AAFC financing support for pre-treatment and post-treatment performance. The linked AAFC list of businesses will be housed at Statistics Canada's Centre for Special Business Project (CSBP).

A research dataset will be produced and the full integrated database will be used by CSBP to produce a custom-designed table of non-confidential aggregate statistics for the client. The output of this project will not be sent to the Canadian Centre for Data Development and Economic Research (CDER).

Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada.

Purpose: This research project will provide a unique and powerful profile of Canadian Tri-Agency Graduate Scholarship, Fellowship, and other related award recipients, as well as their performance while in school and then in the labour market.

The results from this research will be useful to the universities participating in the research project as they will be able to have a clearer picture of how different graduates (successful applicants, unsuccessful applicants, and non-award applicants) perform in school and in the labour market.

The results will also be useful to the Tri-Agency, which is supporting the project. They will be able to better understand the performance of their award recipients, and adjust their programs if necessary based on the results of this research.

Policy makers will also be able to use the results to review how funding is allocated and whether more or less resources should be allocated to different groups and/or institutions.

Finally, students will be able to rely on the results to make informed decisions on their academic journey and later on in their careers.

Because the student data will go back 15 years, this project will represent the longest time-series of linked student and labour market data available to date.

Output: Findings will be presented to various stakeholder groups in the area of postsecondary education, in order to better inform them on the schooling and labour market outcomes of graduate students and how Tri-Agency is related to these outcomes, and allowing them to incorporate this knowledge into their understanding of postsecondary education and their own related activities.

All reports submitted to Tri-Agency will also be published on the Education Policy Research Initiative (EPRI) website, where they will be freely available to the general public. EPRI will also present the findings at various academic and non-academic professional conferences such as the Canadian Economics Association's annual conference, various international economic conferences, and both Canadian and international non-academic forums. The findings presented in each report will also be presented in papers written for submission to academic journals.

In addition to the research planned by EPRI, the participating universities plan to conduct their own research projects using the merged files. Details of these projects are still to be determined, and will be reviewed on a case by case basis for approval by the Canadian Centre for Education Statistics, within the parameters and timeframe established by the partners at the outset of the project.

Purpose: To estimate the supply of workers in the New Brunswick labour market, particularly the replacement demand, that is, the workers needed to replace those who are no longer employed in the province. The focus will be on three groups: stayers (workers employed in the same industry for one or more years), leavers (workers who leave the labour market or industry) and entrants (workers entering the labour market, including those returning to the workforce).

Output: All access to the linked microdata will be restricted to Statistics Canada personnel whose work activities require access. Only aggregate data that conform to the confidentiality provisions of the Statistics Actt will be released outside of Statistics Canada. Findings will be used in research papers and in presentations at workshops and conferences.

Purpose: The proposed project would link the T3010 and T5013 tax forms to the Linkable File Environment of Statistics Canada to produce and improve multiple current statistical indicators used in multiple Centre for Special Business Projects (CSBP) projects such as the Cooperative and Social Innovation and Social Financing projects led by Innovation, Science and Economic Development Canada (ISED) and Employment and Social Development Canada (ESDC).

A dataset will be produced and the full integrated database will be maintained in Statistics Canada's Canadian Centre for Special Business Projects (CSBP).

Output: Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada.

These will include the Entrepreneurship Indicators Database (EID) project which provides estimates and the number of high growth enterprises in Canada, used by ISED and the Privy Council Office to evaluate the Budget 2017 and Budget 2018 commitment to "double the number of high-growth companies".

Purpose: The CPSS is an efficient and timely method for collecting information without the need to repeat previously collected information. The purpose of this project is to link the basic information collected from the CPSS iterations to their LFS responses.

Output: Only non-confidential aggregated data and analytical products that conform to the confidentiality provisions of the Statistics Act and any applicable requirements of the Privacy Act will be released outside of Statistics Canada. Linked analytical datasets (without any personal identifiers) to be accessible through the Research Data Centres.

Purpose: The purpose of this linkage is to provide data about the number of employees in the agricultural sector, mainly by farm type, and province. The linkage result will help inform decision-making about food supply and food security related to the Covid-19 crisis.

Output: Non-confidential data tables providing information on employment in the agricultural sector and profiling the agricultural employees from 2015 onward will be released.

Purpose: The main objective of this project is to produce custom tabulations for Innovation Science and Economic Development Canada (ISED) to profile the recipients of CEBA. For comparative purposes, this project may also create tabulations showing characteristics, including economic performance, of similar businesses that are not part of the program.

The comparison will be a breakdown by industrial sector, geography, size, and, when possible, growth stage for the period 2009-2019 (and future years as the data becomes available).

Output: The output will be in the form of profiling tables which describe businesses that received CEBA financing support. Additional tables showing post-treatment performance may be created when post-financing outcome data becomes available. The linked list of businesses will be housed at Statistics Canada's Centre for Special Business Project (CSBP).

A full integrated database will be used by CSBP to produce a custom-designed table of non-confidential aggregate statistics for the client. The output of this project will not be sent to the Canadian Centre for Data Development and Economic Research (CDER).

Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada.

Purpose: The main objective of this project is to produce custom tabulations for Innovation, Science and Economic Development Canada (ISED) to profile and describe the recipients of CSBC. For comparative purposes, this project may also create tabulations showing characteristics, including indicators on economic performance, of similar businesses that are not part of the program.

Output: The output will be in the form of profiling tables. Additional tables showing comparisons of pre- and post-COVID-19 performance may be created. The linked list of businesses will be housed at Statistics Canada's Centre for Special Business Projects (CSBP).

CSBP will create a database combining information from the CSBC and the LFE to produce custom-designed tables of non-confidential aggregate statistics for the client. The output of this project will not be sent to the Canadian Centre for Data Development and Economic Research (CDER).

Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada.

Purpose: The purpose of this project is to create a linked analytical dataset that will include additional socio-economic characteristics for COVID-19 related deaths. The project will link the provisional deaths from the Canadian Vital Statistics – Death database (CVSD) from January 1, 2020 onwards to the 2016 Census of Population and the Longitudinal Immigration Database (IMDB). The integrated dataset will fill an existing data gap and will facilitate analysis of deaths by sub-population characteristics as well as neighbourhood characteristics. The dataset supports the Government of Canada's response to the COVID-19 pandemic.

Output: Only non-confidential aggregate statistics and analyses conforming to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. All products from the linked data will be disseminated in accordance with Statistics Canada's policies, guidelines and standards. The analytical file will not contain any personal identifiers. Outputs from this file may include a wide range of data and analytical products.

Purpose: The purpose of the project is to create the National Accounts Longitudinal Microdata File (NALMF), a database that can be used to replicate and extend the analysis and research conducted by the Economic Analysis Division (EAD) at Statistics Canada.

The linked file will be comprised of derived analytical variables used in EAD's analytical studies and the raw variables that are needed to derive them. The linked database will be updated and extended annually, and will include new derived variables introduced in published analytical studies. The NALMF database will comprise a select number of variables derived from a wide range of data files, including the Business Register, administrative data from the Canada Revenue Agency (CRA), administrative data files from the CRA that have been further processed by subject-matter divisions at Statistics Canada, Trade by Exporter Characteristics, Trade by Importer Characteristics, Canadian Border Services Agency customs data, the Government Finance Statistics, and the PATSTAT database on patenting in Canada and by Canadians. It will include firm-level variables derived from individual-level information, such as the fraction of workforce that are women and the gender identity of the firm owner.

Output: The longitudinal files that will serve the internal and external researchers will conform to the confidentiality provisions of the Statistics Act. Only aggregate statistics and analysis conforming to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada.

Access will be granted to Statistics Canada staff with valid authorizations. External users will be able to access the linked data on Statistics Canada premises under the Directive on the Use of Deemed Employees, MOUs with the Canadian Centre for Data development and Economic Research (CDER) and conditions authorized by the Microdata Access Management Committee (MAMC). Synthetic files will be created for external researchers for direct access, while the original files will only be accessed via batch mode with no viewing function.

Purpose: The purpose of this study is to continue surveillance of the mortality and cancer incidence experience of Imperial Oil Limited (IOL) employees. These outcomes provide knowledge about the overall health status of the workforce and potential chronic health effects, such as cancers which can take decades to develop. If needed, more focused analyses related to particular work areas and jobs can be initiated on an expedient basis. The information can also help guide health care screening and monitoring programs for employees deemed to be at higher risk.

Output: The aggregate study findings will be shared with management and employees at Imperial Oil Ltd. and published in reports and scholarly journals.

Purpose: This project aims to attribute language variables from the short-form census to business owners from the Canadian Employer-Employee Dynamics Database in order to identify the businesses of official language minorities (OLM). Different definitions of OLM businesses will be tested in order to identify those that are best suited for different analytical needs. In further projects, we intend to use these definitions to produce profiles and analytical reports on OLM businesses and their characteristics.

Output: The main output will be an analytical report provided to Innovation, Science and Economic development, the client of this project. This report will include frequency distribution tables of business characteristics (size, revenue, industry, geography) that will allow the comparison of the OLM business definitions tested. Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. The linked data will only be made accessible for Statistics Canada analysts associated with the project. The output of this project will not be sent to the Research Data Centre (RDC) or to Canadian Centre for Data Development and Economic Research (CDER).

Purpose: The purpose of this project is to produce historical labour market information for population groups designated as visible minorities. This historical data will complement population group data collected directly in LFS, which is scheduled to begin in July 2020.

Output: Only non-confidential aggregated data and analytical products that conform to the confidentiality provisions of the Statistics Act and any applicable requirements of the Privacy Act will be released outside of Statistics Canada.

Purpose: This project aims to provide evidence of wealth effects on entrepreneurship by comparing various business outcomes for incorporated and unincorporated businesses owned by lottery winners. It relies on the linkage of data on lottery winners from a Canadian province from 2004 to 2014 to the Canadian-Employer-Employee Dynamics Database (CEEDD) over the 2001-2018 time period. The Lottery winners' dataset provides the identity and place of residence of the lottery winner, the amount of the lottery win, date of lottery payment, lottery product type, and the number of winners. CEEDD provides information about the businesses owned as well as socio-economic characteristics of the lottery winners and their spouses.

The linked database will be used to: compare the number and performance (number of employees, total wages paid, total revenue, net income) of businesses owned by the lottery winners and spouses.

Output: Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. The information will be presented in the form of tables of regression results and summary statistics.

Purpose: This project exploits the revision to the Canadian Bankruptcy and Insolvency Act (BIA) in 2009, to identify and document how the increase in the relative cost of bankruptcy changed bankruptcy filing behaviour. For this project, data from the Office of the Superintendent of Bankruptcy (OSB) Consumer Proposal from 2006 to 2014 will be linked to the Canadian-Employer-Employee Dynamics Database (CEEDD) over the 2001-2018 time period. The OSB Consumer Proposal dataset provides the identity, place of residence, date of birth, and detailed information about the filer (e.g., gender, age, occupation, debt structure, asset holding) and the filing (e.g., reason for filing, date, type, payment schedules). CEEDD provides information about the businesses owned as well as socio-economic characteristics of the filers and their spouses.

The linked database will be used to assess changes in business ownership status, labour force participation, composition of personal income (e.g., self-employment income) of individuals in the OSB Consumer Proposal dataset as well as their spouses.

Output: Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. The information will be presented in the form of tables of regression results and summary statistics.

Purpose: The COVID-19 pandemic has resulted in widespread labour market disruptions across Canada and the world resulting in an immediate policy need to measure and monitor the full extent of its economic impact on Canadians in a timely manner. The Labour Force Survey is Canada's primary data source for tracking monthly labour market trends including wages and salaries. Because of the labour market disruptions, many Canadians maybe relying on income sources other than wages to maintain their standard of living. The integrated dataset will be used to provide a timelier estimate of income and from a fuller picture of more income sources of Canadians which will help identify at-risk groups and whether other income sources are adequately compensating for wage losses.

Output: All access to the linked microdata file will be restricted to Statistics Canada personnel and deemed employees whose work activities require access to prepare estimates or conduct research. Only non-confidential aggregate data or tables conforming to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. Research reports and presentations such as infographics will be generated from the analysis file, vetted for non-disclosure and released.

Security measures for the linking keys, identifiers and analysis file will conform to Statistics Canada's policies and standards. All direct identifiers will be excluded from the analysis file constructed by this linkage. The analysis file will be made available to Statistics Canada employees and deemed employees with a specific and acceptable research project. The analysis file will be retained in accordance with the Directive on the Management of Statistical Microdata Files, until no longer required, at which time it will be destroyed.

Purpose: The purpose of this project is to create an integrated analytical dataset that will allow researchers:

• To describe patterns of income for cancer survivors over time, as measured by net household and net individual income;
• To estimate the effect of clinical factors (e.g., data of diagnosis, age at diagnosis, and tumour type) and sociodemographic factors (e.g., immigration status, income quintile at the neighbourhood level, urban/rural indicator, province/territory and health region) on household and individual income; and
• To examine differences in the impact of cancer on income for: women and men; different age at diagnosis groups; different provinces/territories, health regions and urban/rural locations.

The integrated dataset will fill an existing data gap and will facilitate analysis of a cohort of cancer survivors compared to a cohort of controls by sub-population characteristics as well as neighbourhood characteristics.

Output: The integrated data will be available to deemed employees to use in a Research Data Centre. All data and analytical products to be released outside of Statistics Canada will conform to the confidentiality provisions of the Statistics Act. The integrated data and linkage keys will be retained by Statistics Canada in accordance with the Directive on the Management of Statistical Microdata Files.

Purpose: Empirical evidence on the impact of firms' market power and corporate concentration on capital investment and labour demand is central for antitrust regulators to designing effective competition policies. The proposed study will examine the effects of firms' market power through merger and acquisition (M&A) activities on firms' capital investment and employment decisions. It will make use of the Canadian Employer-Employee Dynamics Database between 2002 and 2017, linked to Refinitiv's M&A data. It will provide the first empirical evidence of market power and corporate concentration on the Canadian economy. The results from this study will help policymakers design more effective competition policies. They, in turn, will benefit consumers in lower prices from a reduced monopoly power of large anti-competitive firms, and benefit workers in their hiring and salary negotiation from a reduced monopsony power. Moreover, understanding which types of firms will change investment after an M&A will help policymakers target specific firms when designing competition policies, which will help firms via increased innovation, and ultimately consumers via cheaper and higher quality goods.

The study has been reviewed and funded by the Social Sciences and humanities Research Council.

Output: Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. The information will be presented in the form of tables of regression results and summary statistics related to the project's goal of examining the impact of market concentration on the capital investment, employment and wages.

Purpose: The purpose of this project is to create an integrated analytical dataset that will allow researchers to:

• Determine risks of cancer and non-cancer mortality from exposures to X-ray fluoroscopic examinations.
• Assess risks of cancer incidence and compare them with mortality-based radiation risk estimates.
• Investigate the effects of novel dose estimation and statistical methods on radiation risk estimates.

Output: The integrated data will be available to deemed employees to use in a Research Data Centre. All data and analytical products to be released outside of Statistics Canada will conform to the confidentiality provisions of the Statistics Act. The integrated data and linkage keys will be retained by Statistics Canada in accordance with the Directive on the Management of Statistical Microdata Files.

Purpose: The purpose of this project is to build the capacity for identifying the primary risk factors and the sub-populations at greatest risk of an overdose in Simcoe-Muskoka, ON. It will create a better understanding of the characteristics of those individuals at the heart of the opioid crisis. This work is being conducted for Health Canada and the Simcoe-Muskoka community to assist them in identifying the root of the illicit drug epidemic and the individuals most at risk of overdose, as well as deriving a typology for the classification of incidents and individuals at risk of opioid related overdose.

Output: Only non-confidential aggregate statistics and analyses that will not result in the identification of an individual person, business or organization will be released outside of Statistics Canada. High-level findings may be reported in the form of presentations, data tables, and data visualization dashboards to Health Canada and various Simcoe-Muskoka partners.

Purpose: The federal personal income tax (PIT) system recognizes the additional costs borne by persons with disabilities and provides tax relief to this population through several tax expenditures (e.g., the disability support deduction and Disability Tax Credit). However, due to the specific eligibility criteria of these measures, using them as proxies for identifying persons with disabilities in tax data may underestimates this population in Canada. On the other hand, while the Canadian Survey on Disability may allow a better identification of persons with disabilities, it contains very few details on the income earned and taxes paid by this population. Using these two data sources separately limits the ability to study the impacts of federal PIT expenditures on persons with disabilities.

In this context, it is assumed that a merge between the Canadian Survey on Disability and tax data represents a good strategy to conduct such a study, learn more and make information available to the public on the benefits of PIT expenditures for Canadians with disabilities.

Output: The plan is to publish results of this analysis as part of a Gender-based analysis plus (GBA+) study in a future edition of the Finance Canada's Report on Federal Tax Expenditures.

Purpose: The Centre for Special Business Projects (CSBP) will receive a list of participants in NRC-IRAP. These participants will be matched to the Business Register (BR) in order to obtain a unique business identifier for each participant. The unique business identifier (Operating Entity Number) will be used to link administrative data from a variety of sources to produce a series of business- and labour-related indicators in order to generate the following outputs.

Output: A full integrated database will be used by CSBP to produce a custom-designed table of non-confidential aggregate statistics for the client. Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada.

Purpose: The purpose of the project is to evaluate the coverage, accuracy and currency of the National Register of Electors (the Register) maintained by Elections Canada. Certain data elements from the Register will be linked to Canadian Vital Statistics – Death records, Immigration records, Visitors records and Labour Force Survey respondent records to conduct the evaluation and produce estimates at a variety of geographic levels (Canada, province/territory, electoral district). The results of the study will inform Elections Canada on the quality of the Register.

Output: Only non-confidential aggregated data and an analytical report that conform to the confidentiality provisions of the Statistics Act and any applicable requirements of the Privacy Act will be released outside of Statistics Canada to Elections Canada.

Purpose: The main objective of this project is to produce custom tabulations for the City of Vancouver) to describe approved CEWS claimants in Vancouver. Microdata in the form of lists of wage subsidy claims by businesses is regularly provided to Statistics Canada from the Canada Revenue Agency and permissions have been granted for the Centre for Special Business Projects (CSBP) staff to have access to this microdata. The linkage of CEWS businesses to the LFE is expected to be conducted using solely the Business Number (BN). The BN exists on both the CEWS microdata file and the LFE microdata. However, probabilistic methods may be used as needed.

Output: The output will be in the form of profiling tables which describe enterprises with approved CEWS claims in the City of Vancouver.

The tables will show the following variables:

1. Number of enterprises,
2. Number of employees,
3. Subsidy dollars received.

The dimensions these variables will be aggregated over will be

1. NAICS industry groups,
2. Geographic dimensions such as census geographies,
3. Period of claim (possibly).

The linked list of businesses will be housed at Statistics Canada's Centre for Special Business Project (CSBP).

A full integrated database will be used by CSBP to produce a custom-designed table of non-confidential aggregate statistics for the client. The output of this project will not be sent to the Canadian Centre for Data Development and Economic Research (CDER).

Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada.

Purpose: Existing research assessing the effectiveness of federal government employment equity labour programs is limited. They lack the causal identification of program effects and the inferences drawn cannot be easily extended to more detailed levels within industries. The proposed study will evaluate two ESDC's programs under the Employment Equity Act (EEA) – the Legislative Employment Equity Program (LEEP) and the Federal Contractors Program (FCP) – in promoting equity, diversity and inclusion. It will make use of Statistics Canada's Canadian Employer-Employee Dynamics Database (CEEDD) between 2001 and 2017, linked to the LEEP and FCP. By leveraging the recent advancement in casual research methodologies and firm-level data, it will provide first empirical evidence on the causal impact of these programs on workplace equity and the employment outcome of women, one of the four designated groups under EEA. The results from this study will inform potential reviews of Labour Programs in improving employment equity outcomes for workers in the federal labour jurisdiction. Moreover, key findings will be used to create research programs supporting the policy thinking in respect to programs under the EEA. In turn, they will help policymakers design more effective employment equity policies. Ultimately, these findings will be of benefit to the federal labour jurisdiction in promoting workplace equity, diversity and inclusivity.

Output: Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. The information will be presented in the form of tables of regression results and summary statistics related to the project's goal of examining the causal impact of LEEP and FCP on workforce equity.

Purpose: The purpose of this project is to estimate the size and provide a portrait of the socio-economic characteristics of the population of surviving military spouses who are not entitled to a survivor pension due to marriage or common-law reunion after the Veteran turned 60. The resulting aggregate data tables will provide insights and inform the development of new programs including the Veteran Survivors Fund.

Output: Aggregate statistical outputs and analyses will be released and available to the public. Outputs remain subject to the confidentiality provisions of the Statistics Act. Disclosure control rules will be applied in order to safeguard the privacy of individual Canadians' personal information. Data validation processes will be established in order to ensure the accuracy of all disseminated materials, including tabulations and analytical products.

Purpose: The purpose of this project is to expand on research previously done by Statistics Canada on opioid overdoses in the City of Surrey and the province of British Columbia to the rest of Canada by leveraging existing administrative data sources. It will allow researchers to examine the characteristics of individuals who experienced drug overdoses and their socio-economic outcomes over time. The project will produce a set of longitudinal and intersectional indicators across the domains of Health, Income, Labour and Justice in order to gain deeper insight into the opioids crisis.

Output: The longitudinal and intersectional data file will include a Cohort of drug cases and a control group (2005 – most recent) along with intersectional and longitudinal measures. Two versions of the file are intended to be produced: (1) a Master microdata file, and (2) a Researcher's microdata file with enhanced privacy preservation.

Purpose: By integrating data from the 2006 Aboriginal Peoples Survey (APS) and the 2016 Census of Population, this analytical dataset will provide important longitudinal information on the Indigenous population living off reserve in 2006. The APS and the Census are both rich sources of information that complement each other. For example, the 2006 APS includes content on household income, health care utilization, learning among children and youth aged 6 to 14, and participation in cultural activities, whereas the Census contains content on educational attainment, labour force participation and income. By combining these two sources of information, it is possible to examine the association between the experiences of Indigenous people in 2006 and outcomes in 2016. This is particularly important in the context of the Truth and Reconciliation Commission of Canada's Calls to Action, specifically those relating to child welfare, education and health. The findings from this dataset will be relevant to the needs of Indigenous data users, including policy-makers, institutions, communities and indigenous organizations. Since this dataset combines existing data holdings, it is capable of extending the relevance of the 2006 APS without additional response burden.

Output: Only aggregate statistical outputs that conform to the confidentiality provisions of the Statistics Act will be disseminated. No personal identifiers will be included in the integrated analytical file, which will be made available to deemed employees of Statistics Canada, including researchers within the Research Data Centres (RDC). Access will be granted following the standard RDC approval process.

Purpose: This study is carried out on a cost-recovery basis by Statistics Canada for Fisheries and Oceans Canada (DFO). Its purpose is to apply the methodological framework developed in the pilot phase (in fiscal years 2018-2020). The outputs will be aggregate-level statistical tables that will allow Fisheries and Oceans Canada to evaluate the financial performance of a subset of fishing fleets across Canada in a more efficient and cost-effective manner. This, in turn, will allow DFO to evaluate issues around licensing fee policy, Species At Risk Act (SARA), marine protected area regulations, programs to increase Indigenous participation, fleet management reforms, as well as analysis related to the contribution of the fish harvesting sector to regional and Canadian economies.

Output: Statistical tables will be prepared at the aggregate level while meeting the confidentiality requirements of the Statistics Act. Only statistics such as averages, standard deviations, etc., will be provided to DFO. The linkage will be performed at Statistics Canada by Statistics Canada staff. The linked files will be kept on a secure, password-protected server and will only be maintained until no longer required for the project.

Purpose: The purpose of this data linkage is to address the current data gap on socio-economic data for COVID-19 testing in British Columbia. The project will link British Columbia's COVID-19 testing data to the 2016 Census of Population, the Longitudinal Immigration Database, and the Canadian Housing Statistics Project Analytical File. The resulting integrated dataset will be used to create aggregate statistics for British Columbia's Ministry of Health that will facilitate their analysis of COVID-19 testing and the results of those tests by sub-population and neighbourhood characteristics. This will support British Columbia's and the Government of Canada's response to the COVID-19 pandemic.

Output: Only non-confidential aggregate statistics and analyses conforming to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. All products from the linked data will be disseminated in accordance with Statistics Canada's policies, guidelines and standards. The analytical file will not contain any personal identifiers. Outputs from this file may include a wide range of data and analytical products. After the outputs have been produced, the cohort file and linked analytical files will be destroyed.

Purpose: The purpose of this project is to produce enhanced insights from the Employment Insurance Statistics – Monthly (EIS) in order to better understand the labour market impacts of COVID-19 on EI beneficiaries. This includes, but is not limited to, producing EIS estimates by industry.

Output: Only non-confidential aggregated data and analytical products that conform to the confidentiality provisions of the Statistics Act and any applicable requirements of the Privacy Act will be released outside of Statistics Canada.

Purpose: Administrative data would be used as required when processing the data from the 2021 Census of Population.

Several changes will be implemented in the 2021 Census collection plan due to the COVID-19 pandemic. For this reason, we are proactively exploring a statistical contingency plan based on increased, secure and appropriate use of administrative data to support the 2021 Census under exceptional circumstances. This plan would be implemented only if enumeration is not possible (or is significantly impacted) in a given region due to the COVID-19 pandemic or other natural disaster, and only when the quality of the administrative data available is deemed acceptable.

The purpose of using administrative data would be to impute data for households that do not respond to the 2021 Census, when good-quality administrative data are available. Administrative data would be used to impute the household size of the targeted non-respondent households, the date of birth and the sex of the residents.

During data processing and after collection, administrative data would be incorporated into the data from the questionnaires completed by other households responding to the 2021 Census of Population to help produce the total population counts and the counts by age and sex at birth.

The administrative data sources that would be linked are mostly data currently used at Statistics Canada in various statistical programs, including the Census of Population. These sources are primarily from the Canada Revenue Agency, Immigration, Refugees and Citizenship Canada, and the provincial and territorial birth, death and driver’s licence records.

Output: Administrative data would be integrated, as required, with the data from the completed questionnaires to produce standard dissemination products for the 2021 Census of Population. The data would be released only in aggregate form, in accordance with the confidentiality provisions of the Statistics Act. The record linkage outputs will be kept in a secure directory on the Census Program Transformation Project servers. Only employees whose work requires it will have access to this directory, for the life of the files.

Purpose: The Postsecondary and Workplace Skills (PAWS) project will examine the relationship between skill level in postsecondary education and labour market outcomes. In particular, the project will focus on the assessment of critical thinking skills, which are believed to be important within both the postsecondary environment and the workplace.

The objective is to examine how the skill levels of final year students relate to labour market success.

The expected result is that Employment and Social Development Canada (ESDC) and the Higher Education Quality Council of Ontario (HEQCO) will have a better understanding of the critical thinking skills of postsecondary students, and how these skills are related to labour market success, as measured by labour force attachment and actual earnings. The results could provide the evidence base to inform ESDC and HEQCO policy and program development, as well as inform postsecondary education programs and practices in terms of helping students to develop and enhance critical thinking skills.

Output: The linked outcome file, with all identifiers removed, will be made available to the clients in the Federal Research Data Centre. A report will written by the Education Policy Research Initiative (EPRI) for internal dissemination at ESDC and HEQCO. The report may also be shared with external partners and hosted on the HEQCO and EPRI websites.