2019 submissions

Purpose: DHEA provides household distributional statistics of income, consumption, savings and wealth based on national accounts estimates. Information on disparities among households that is consistent with macroeconomic indicators enriches the understanding of economic developments and allows for a more complete assessment of the risks associated with, for example, rising inequality of income, consumption, savings and wealth.

Output: DHEA is released annually, providing distributions by income quintile, by age group, by province/territory and by household type. Additional distributions will be made available to users as new source data is exploited and the estimates are developed.

Purpose: To evaluate the information content in the Bank of Canada's Business Outlook Survey. This will be achieved by linking data of all firms in the Bank of Canada's Business Outlook Survey (BOS) to Statistics Canada's Business Registry and administrative firm data sources (specifically the National Accounts Longitudinal Microdata File) over the period 2000-2017. The goal of this project is to compare the information content of the BOS to Statistics Canada administrative data sources and how administrative data can complement the survey.

Output: Security measures for the linking keys, identifiers and linked analysis file will conform to Statistics Canada's policies and standards. The linkage will be performed at Statistics Canada by Statistics Canada staff, and the link files will be kept in a secure, password-protected server. Access to direct identifiers and linked files will be restricted to Statistics Canada staff whose assigned work duties require such access. All direct business identifiers will be removed from the analysis file once linkage is complete. External researchers can only access the linked data in the Canadian Centre for Data Development and Economic Research, on Statistics Canada premises, and under the Directive on the Use of Deemed Employees. The linked 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 the project is to examine the role individuals play in the generation of intellectual property, in the leveraging of that intellectual property to drive firm performance, and in the diffusion of the skills for innovation across the economy. The project will inform the Government of Canada's Innovation and Skills Plan and Intellectual Property Strategy, particularly in the areas of skills development, the diffusion of knowledge, and intellectual property awareness among individuals from various socio-economic backgrounds.

Output: Security measures for the linking keys, identifiers and linked analysis file will conform to Statistics Canada's policies and standards. All direct business and individual identifiers will be removed from the analysis file once linkage is complete. External researchers can only access the linked analysis file in the Canadian Centre for Data Development and Economic Research, on Statistics Canada premises, and under the Directive on the Use of Deemed Employees. The linked 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 resulting data from this microdata linkage will be used by the Canadian Mortgage and Housing Corporation to better understand the housing, dwelling and other complementary characteristics of a cohort of Canadian veterans, who have been identified as an at-risk population in the latest national housing strategy.

Output: The resulting aggregated data will be disseminated in a tabular format. Only non-confidential aggregated statistics and analytical output 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: The purpose of this project is to the update the linkage of the National Dose Registry to the Canadian Cancer Registry (CCR) and the Canadian Vital Statistics Death (CVSD) database with the aim to continue to assess long-term health effects that may be related to occupational exposure to radiation. Occupational health and safety legislation establishes thresholds for occupational exposure, as well as workplace and personal protective measures, in order to minimize the hazards related for those whose work includes exposure to radiation. The effects of occupational exposure to radiation are not always apparent in the short term and may take several years to manifest themselves. As such, it is important that epidemiological studies are performed to help establish any long term health effects that may be linked to radiation exposure.

Outputs: The linked de-identified data will be available to deemed employees of Health Canada within the Federal Research Data Centre (FRDC) and to other researchers within the Research Data Centers (RDC). Results of the study will serve to better inform the general public on cancer and mortality outcomes related to occupational exposure to radiation and will provide policymakers, employers and employees with information that may be used to guide health and safety legislation or workplace practices relating to occupational radiation exposure.

Purpose: The main objective of this project is to assign a population served value to records of wastewater (sewage) systems reported to Environment and Climate Change Canada (ECCC) via the Effluent Regulatory Reporting Information System (ERRIS), as required under the Wastewater Systems Effluent Regulation (WSER). The linkage will be on-going.

Output: The record linkage of census and WSER data is necessary to produce tables of population serviced by public wastewater (sewage) systems. These new tables will facilitate Canada's reporting obligations to the Organization for Economic Cooperative Development (OECD) and support new indicators for the Canadian Environmental Sustainability Indicators (CESI).

Purpose: The Corporations Returns Act (CRA) program was identified as a potential source of information regarding gender diversity on corporate boards. Although the CRA does compile information on board governance and control, it does not collect information on the gender profile of the directors. The results of a record linkage between the CRA data and the Social Data Linkage Environment (SDLE) combined with imputation methods permit the integration of a sex field onto the CRA database. Statistics on the composition of corporate boards and more specifically on women having a governance role on boards of directors can then be produced. While information of this nature is produced by the private sector, their observations focus on boards of publicly traded corporations. The CRA provides information on board composition of public, private and government businesses. The CRA data compiles this detailed information at the enterprise level but also at the legal entity level. This provides further insight into the overall gender distribution of governance roles within the entire corporate structure and not solely from the top executive board of the enterprise. This initiative is aligned with the priorities of the Government regarding a diverse and inclusive Canada and also contribute to the Sustainable Development Goals (SDG) as part of achieving gender equality.

Output: Only aggregate statistical outputs and analyses will be released, 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: This paper will combine business data with data on individual earnings to study trends in earnings inequality from 1998 to 2017. This study will investigate earnings at the individual as well as the firm level to determine the extent to which overall inequality levels are driven by earnings disparities between different firms and within firms.

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

Purpose: By combining the Indian Register (IR) with annual tax data, this database would allow First Nations governments and organizations, analysts, and government departments to better understand the income trends of the Registered Indian population, as well as the impact of various policies. Due to its longitudinal design, this database is able to provide economic indicators over time, accompanied by various socio-demographic characteristics that add depth and nuance to analyses. Specific cohorts can be followed and the effects of policies or programs can be more accurately measured. Since this database combines administrative data sources, response burden is reduced compared to a survey with similar content. Furthermore, administrative databases, such as this one, are not affected by sample size limitations and are able to produce reliable estimates at a detailed level.

Output: Only aggregate statistical outputs and analyses will be released, 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.

While the database is being developed and tested, and its analytical potential is being explored, preliminary statistical outputs will be shared for discussion and engagement purposes only. During this feasibility phase, outputs will be released to Indigenous Services Canada (ISC) / Crown-Indigenous Relations and Northern Affairs Canada (CIRNAC), as well as to First Nations Governments, communities, and organizations, either on request or as part of planned engagement activities. Subsequent broader release of finalized statistical outputs will be considered in collaboration with stakeholders.

Purpose: The purpose of this linkage is to obtain information on possible barriers to families and individuals receiving various benefits programs, and to provide more direct evidence on the take-up rate for these programs. Receipt of many government benefits is contingent upon filing an income tax return. This project will provide analysis of T1 tax filing profile and take-up rates of various benefits programs according to socio-demographics characteristics, analysis of the incidence of benefit take-up and the benefit receipts according to income levels, and analysis of the characteristics of the non-filers or those who do not receive the grants.

Output: Only non-confidential aggregated tables, conforming to the confidentiality provisions of the Statistics Act, will be released outside of Statistics Canada. Confidentiality rules for the Census would be applied to all products before release.

Purpose: The objective of this initiative is to create a linked database that will support research on the relationships between labour market, income and hospitalizations including financial outcomes experienced by individuals and families following hospitalizations resulting from accidents and acute illness. The proposed linkage will combine data on acute inpatient hospitalizations with data on income and employment. The resulting analytical files will support a broad program of research related to income and hospitalizations including research on the economic consequences of ‘health shocks’ for individuals and their families and the implications for income, labour and health policies. The de-identified linked files will be made available to researchers through the Research Data Centres Network.

Output: Methodological and analytical findings resulting from these 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, business or organization will be released outside of Statistics Canada and the Research Data Centres.

Purpose: The purpose of this linkage is to obtain long-term follow-up information on consenting individuals with aggressive non-Hodgkin lymphoma who previously enrolled on the LY.12 randomized phase III clinical trial. The cohort of clinical trial participants will be linked to the Canadian Cancer Registry in order to identify occurrence of malignancy, either second cancer or recurrence of lymphoma. Linkage to the Canadian Vital Statistics Death Database will be undertaken to assess long-term survival and cause of death of those who participated in the trial.

Output: The de-identified linked datasets will be available for the exclusive use of researchers from the Canadian Cancer Trials group within a Research Data Centre (RDC). All data and analytical products to be released outside of the RDC will conform to the confidentiality provisions of the Statistics Act. These file will be retained in accordance with the Directive on the Management of Statistical Microdata Files.

Purpose: The purpose of this linkage is to provide data about the number and demographic information of temporary foreign workers (TFW) in the agricultural sector, by farm type and province. These workers help offset labour shortages in the agricultural sector and this information will help inform policies related to TFW.

The Census of Agriculture will be used during the exploratory phase for the initial linkage of the businesses to the businesses in the Census universe. For regular production, the Agriculture Taxation Data Program will be used instead as it covers the entire business population in scope on an annual basis.

Output: A research paper profiling temporary foreign workers in the agricultural sector in 2015. Annual non-confidential data tables profiling temporary foreign workers in the agricultural sector from 2015 onward will be released.

Purpose: The purpose of this project is to create a linked dataset that will allow the study of women’s perinatal health at the population level, including the ability to assess the differences across various sociodemographic parameters. In order to achieve this purpose, information from the Canadian Vital Statistics Birth Database (CVSB) and the Canadian Vital Statistics Stillbirth Database (CVSS) will be used to create a cohort of mothers (Mothers File). The Mothers File will be linked to various administrative datasets including: the Immigrant Landing file, the T1 Family File, the long form Census (2001, 2006 and 2016) and the National Household Survey (2011) to add sociodemographic information about mothers. The Mothers File will also be linked to the Discharge Abstract Database (DAD) and the National Ambulatory Care Reporting System (NACRS) to examine maternal morbidity before and during pregnancy. In addition, the Mothers File will be linked to the Canadian Vital Statistics Death Database (CVSD) to identify maternal deaths and study association between maternal mortality and maternal morbidity during pregnancy. Finally, a linkage of the CVSB and the CVSS to the CVSD will be undertaken in order to identify infant deaths and study the association of infant mortality with indicators of perinatal health among various subgroups.

Output: The linked data will be available to deemed employees with approved projects to use in a Research Data Center (RDC).

Purpose: The Atlantic Provinces Economic Council (APEC) is conducting research on establishing benchmarks for the Digital Technology Industry in Atlantic Canada. This research project is being conducted on behalf of TechImpact and is funded by Atlantic Canada Opportunities Agency (ACOA), Nova Scotia Business Inc. and Opportunities New Brunswick.

The proposed project would link a database of approximately 500 companies in Atlantic Canada that fit the definition of the digital technology sector to Statistics Canada administrative databases to build a simple profile of APEC client firms. The digital economy in Atlantic Canada is evolving rapidly but its size and impact are largely unknown. There are several sub-segments of Atlantic Canada’s digital economy that appear to be growing rapidly, such as big data and the internet of things, e-health, and cloud computing, e-commerce and cyber security. These industries are not adequately identified within the standard Information and Communication Technology (ICT) definition or within Statistics Canada’s new Digital Satellite Account. The LFE analysis of APEC’s custom database will provide important baseline and recent growth parameters that are not available currently. With a better understanding of the size, scope and growth dynamics of digital technology firms, governments and other organizations that support their growth, including training and education institutions, incubators and accelerators, and financing organizations, can make better policy decisions and ensure support services are of sufficient scale and appropriate design and scope.

To do so, APEC firm data are to be provided to Statistics Canada’s Centre for Special Business Projects for the linkage. The database provided to Statistics Canada will include: business name, mailing or street address, city/town, province, postal code, business phone number, and website address (if available).

Output: The output will be in the form of a profiling table which will present aggregate economic indicators such as the total revenue; sales; profits, exports and the number of employees by Atlantic province and by sector. The linked APEC 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: The proposed project would link a cohort of Nova Scotia businesses to Statistics Canada administrative databases to produce a statistic table based on the list of businesses in the cohort provide by Nova Scotia Business Inc. (NSBI).

Information provided by the Nova Scotia Business Inc. (NSBI) will include company name, and company address. These will be matched to businesses on the BR.

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: The output will be in the form of tables which present a series of descriptive statistics for both all enterprises in Nova Scotia and for the cohort of enterprises provided by NSBI. The tables of interest will include: year by year changes in export value from 2014 to 2018; new exporter firms from 2014 to 2018; payroll changes year by year from 2014 to 2018; diversification of export markets.

These tables will be produced at the four digit North American Industry Classification System (NAICS) level if possible, although some industry results will only be at the three or two digit NAICS levels because of confidentiality reasons.

A table production dataset will be produced and the fully integrated database will be used by Statistics Canada’s Centre for Special Business Projects 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: To create a series of population-based census linked datasets that will allow for the examination of mortality, cancer, and hospitalizations, and environmental exposures by taking into account ethnocultural and socioeconomic factors (as measured on the census and tax files) and historical exposure (using historical postal codes mainly derired from tax files to attach environmental exposures). These data files will provide clear and authoritative evidence on whether health inequalities are changing (increasing/decreasing) or remaining constant over time.

Output:All access to the linked microdata file will be restricted to Statistics Canada personnel (including Statistics Canada deemed employees) whose work activities require access. Only aggregate data that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. Specifically, output will follow previously approved census linked confidentiality rules and guidelines and other vetting rules specific to the Census of Population and 2011 National Household Survey and other datasets used in this linkage. Access will be granted following standard Research Data Centres (RDCs) approval processes and procedures. Major findings will be used to create research papers for publication in peer-reviewed journals and presentations at workshops and conferences and the Health Indicators program. Analytical datasets will be placed in the RDCs and respect data access guidelines (e.g. exclusion of variables) currently in effect for the source datasets (e.g. census, vital statistics, tax files etc.).

Purpose: This pilot study is carried out on a cost-recovery basis by Statistics Canada for Fisheries and Oceans Canada. Its purpose is to develop a methodological framework 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 and to test it by preparing aggregate-level statistical tables.

Output: Statistical tables will be prepared at the aggregate level while meeting the confidentiality provisions of the Statistics Act. Only statistics such as averages, standard deviations, etc., will be provided to the client. The linkage will be performed at Statistics Canada by Statistics Canada staff, and the linked files will be kept on a secure, password-protected server.

Purpose: The purpose of this project is to allow researchers in the Research Data Centres (RDCs) to link the Masterfile of the 2002 Canadian Community Health Survey – Mental Health and Well-being – Canadian Forces (CCHS-CF) with the Masterfile of the 2018 Canadian Armed Forces Members and Veterans Mental Health Follow-up Survey (CAFVMHS). The linked file will provide longitudinal Canadian data that can be used to assess the impact of mental health disorders on a range of outcomes among military personnel.

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 containing linked data will be disseminated in accordance with Statistics Canada's policies, guidelines and standards. Outputs from this linkage will include a wide range of analysis and standard data tables, as well as custom tabulations. The analytical file will not contain any personal identifiers. A concordance key will be retained indefinitely as part of this record linkage. The opportunity to produce the linked file will be made available to researchers at Statistics Canada's Research Data Centres.

Purpose: The purpose of the research project is to investigate disparities in perinatal outcomes such as preterm birth, stillbirth, and infant mortality by the ethnocultural and socioeconomic characteristics of parents, and examine how these have evolved over time. Knowledge of differential magnitudes of disparities across population groups is essential in developing policy and prioritizing potential intervention strategies.

Output: All access to the linked microdata file will be restricted to Statistics Canada personnel (including Statistics Canada deemed employees) whose work activities require access. Only aggregate data that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. Analytical datasets will be placed in the Research Data Centres (RDCs) and access will be granted following standard RDC approval process. Findings will be used in research papers and in presentations at workshops and conferences.

Purpose: The Canadian Housing Survey (CHS) is designed to fill a data need in support of the federal government's National Housing Strategy. The biennial survey helps track whether Canadians have housing that meets their needs and that they can afford.

The purpose of this linkage is to enrich the CHS program by making available more complementary information to all stakeholders. The additional information will assist with program and policy development to help Canadians with their housing decisions and improve their living standards, for example:

• Historic income information would provide a more complete understanding of housing needs for Canadians in relation to their evolving circumstances over several years;
• Social and affordable housing information would align affordable housing programs better to Canadians most in need; and
• Insights from proximity to services and income dispersion measures would inform resource allocations to maximize individual housing experiences.

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: This projects will link Labour Force Survey (LFS) respondents from 2007 onwards with the Longitudinal Workers File (LWF). This linkage will extend the utility of these existing data sources using innovative methods and produce insightful longitudinal analyses in the form of publications and conference presentations. By using existing data from the LFS for a new purpose without introducing respondent burden, this linkage project is fully taking advantage of the available data already collected by Statistics Canada, and using it to advance innovative, in-depth concepts related to longitudinal labour market analysis. For example, identifying subgroups of the population who were vulnerable to labour market adversity beyond the 2009 recession could help inform future recession-related policies/programs.

Output: Access to the linked microdata files will be restricted to Statistics Canada personnel whose work activities require access. Only aggregate data that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. Key findings will be used to create research papers for publication in peer-reviewed journals and presentations at workshops and conferences.

Purpose: Voluntary programs to reduce greenhouse gas emissions are an important policy instrument due to their potential to improve environmental outcomes without imposing externally mandated costs. This study will provide a better understanding of the effectiveness of the Canadian Industry Program for Energy Conservation (CIPEC) at reducing energy consumption in manufacturing establishments. In addition, it will study the indirect impact of the CIPEC program on the economic performance (e.g., productivity, output and investment) of manufacturing establishments. The study will use a dataset created by linking Statistics Canada's Annual Survey of Manufacturing, General Index of Financial Information and the CIPEC program data between 2000 and 2012. The findings will help establish the basis for the evaluation of the economic impact of the CIPEC and other voluntary programs.

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 evaluation the CIPEC program.

Purpose: The purpose of this linkage is to improve the quality of published estimates on total income of farm operators and their families. These estimates are used by Agriculture and Agri-Food Canada, other federal and provincial departments, and various agencies to assess the economic welfare of Canadian farm operators and their families, to facilitate farm-level policy development.

Output: This record linkage will increase the quality of some variables that are already part of the dissemination plans for the ATDP Farm Family and/or Farm Operator series.

Only non-confidential aggregates will be disseminated by the ATDP on Statistics Canada’s Data module and in customized tables.

Purpose: The purpose of the linkage is to respond to the data needs of the Government of Canada’s Multilateral Framework for Early Learning and Child Care. This framework identifies key priorities for child care, including child care that is inclusive and flexible.

The SELCCA file in the research data centres will be augmented with income and demographic variables from the T1 Family File (T1FF), Canadian Child Benefit (CCB) file, 2016 Census of population and the Longitudinal Immigration Database (IMDB).

Analytical variables from the SELCCA file, the T1FF file, IMDB; CCB; the 2016 Census of Population will be outputted to a linked analysis file. A descriptive analysis of families using child care will be undertaken.

Output: Access to the linked microdata file will be restricted to Statistics Canada personnel (including Statistics Canada deemed employees) whose work activities require access. Only aggregate data that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. Findings will be reported in research papers, internal and external reporting documents, presentations at workshops and conferences, and external publications (e.g., academic manuscripts).

Purpose: The purpose of the project is to examine the accuracy and currency of addresses in the Drivers’ License (DL) file, which serves as an input into the Register, by linking and comparing them to addresses found on StatCan’s Labour Force Survey. The results of the study will inform Elections Canada on the quality of the National Register of Electors (the Register) maintained by Elections Canada

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: This study seeks to identify the skills, and new ways of learning, particularly in higher education, that Canadians need in order to:

• thrive in an evolving society and labour market;
• understand the changing barriers and challenges experienced by students as they transition from high school through postsecondary programs and into the labour market;
• assess the long-term effectiveness of programs and strategies available to high school students to improve their chances of getting into and completing postsecondary programs and;
• analyze and further the understanding of the relationship between socio-demographic characteristics, high school programs and performance, family background, post-secondary education/pathways, and transitions to the labour market.

Output: The client funding the linkage intends to hold workshops to communicate findings to key stakeholders within and outside our research team. The research results will help formulate policy and practice recommendations and contribute to future research opportunities and policy initiatives.

Presentations of research findings will be delivered to academic and research audiences by team members and graduate students. We will submit proposals to present papers and host sessions at annual conferences held by relevant professional associations, such as the Congress of Social Sciences and Humanities. Opportunities to present at non-academic conferences and various external venues, to ensure that research findings reach relevant practitioner communities, will also be explored.

Research findings will be published in peer-reviewed journals, book chapters, edited collections, and policy reports. In accordance with Tri-Council policy, the research team will publish in open access journals and make the research available in open access repositories to support the accessibility of project outcomes.

White paper and policy briefs will be developed for submission to relevant provincial and federal government bodies for the purposes of informing decision-making.

Finally, the research team will work with their respective university’s communications offices to develop timely and relevant press releases for local and national news outlets and popular media.

Purpose: Innovation in the form of adopting digital technologies has the potential to increase economic prosperity but also brings disruption. A lack of data means that policy makers and researchers struggle to evaluate best how to maximize the benefits and contain the negative impacts of these technologies. This project will link the Aberdeen Enterprise Technologies Indicators (2007-2018) database, from which detailed measures of technology adoption can be derived, to Statistics Canada’s Canadian Employer-Employee Dynamics Database (2001-2018), Census 2006 and 2016, and the National Household Survey 2011. The linkage to the Canadian Employer-Employee Dynamics database, Censuses and National Household Survey will allow the examination of how investments in digital technologies affect firm-level performance, employment and skill-levels within firms. The linkage with the Postsecondary Student Information System (2010-2018) data will allow the examination of how local firm-level digital technology investments affect current, potential and future employees’ educational choices. In particular, researchers are interested in enrollment in and graduation from information technology-related disciplines.

Output: Security measures for the linking keys, identifiers and linked analysis file will conform to Statistics Canada's policies and standards. The linkage will be performed at Statistics Canada by Statistics Canada staff, and the link files will be kept in a secure, password-protected server. Access to direct identifiers and linked files will be restricted to Statistics Canada staff whose assigned work duties require such access. All direct business identifiers will be removed from the analysis file once linkage is complete. External researchers will be able to access the linked data, without direct identifiers, on Statistics Canada premises, under the Directive on the Use of Deemed Employees. The data will be available in the Canadian Centre for Data Development and Economic Research (CDER) only.

Purpose: The British Columbia Ministry of Social Development and Poverty Reduction has convened a committee of expert researchers whose mandate will be to study basic income in the BC context and apply basic income concepts to BC’s current income support system. As part of this project, a linkage between British Columbia’s Employment and Assistance data to various administrative files will be created. This project will provide analysis aiming at determining the social, economic, and health impacts of such a program while acknowledging the impact of technological advances, shifting demographics, changing social norms regarding labour force participation, and citizens’ expectations from government. In particular, the development of analytical research projects are expected to help researchers, the general public and government to understand and to improve assistance policies or programs.

Output: All access to the linked microdata file will be restricted to Statistics Canada personnel (including Statistics Canada deemed employees) whose work activities require access. Research reports and presentations to various groups will be generated from the analysis file. Only non-confidential aggregate data or tables conforming to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada.

Security measures for the linking keys, identifiers and analysis file will conform to Statistics Canada's policies and standards. All direct identifiers will be removed from the analysis file once linkage is complete. The analysis file will be made available to Statistics Canada researchers, and to deemed employees at the Statistics Canada Research Data Centres under the Directive on the Use of Deemed Employees. 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 linkage is to improve the quality of income-related information produced by the Canadian Income Survey (CIS) by drawing income information from virtually all of the Labour Force Survey (LFS) sample. The CIS, which is collected from a sub-sample of the LFS, provides annual income and low income statistics for various family types, demographic characteristics and geographies. The linkage of the LFS sample to the Administrative Personal Income Masterfile (APIM) will improve the quality of income and low income estimates, without increasing response burden or survey costs. Furthermore, this larger sample will allow the release of more detailed estimates, particularly for small populations that are difficult to capture in the CIS sample.

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

Purpose: This study aims to better understand the characteristics of the firms’ use of the Temporary Foreign Workers (TFWs) Program, and the impact of TFWs on the Canadian labour market. The study will focus on two industries, the meat products manufacturing industry and the seafood product preparation and packaging industry.

Data from ESDC’s Labour Market Impact Assessment (LMIA) database on the firms that used TFWs in these two industries during the 2008 to 2018 time period are linked to the Canadian Employer-Employee Dynamics Database (CEEDD) for the same years. The LMIA database provides the identity of the firms using TFWs, and CEEDD provides data on the firms’ characteristics and employees’ earnings data.

The linked database is used to: compare the characteristics of firms that use TFWs to those in the same industries that do not; model the number of TFWs used per firm; and to examine the employment earnings differential between employees in firms that have used TFWs and those in firms that have not used TFWs.

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 evaluating the TFW program.

Purpose: The proposed project would link the Canadian Space Agency (CSA) Database to Statistics Canada administrative databases to produce statistical tables based on the list of companies with space-related activities in Canada.

Information provided by the Canadian Space Agency will include company name, company address; financial information (revenue; R&D expenditures…). These will be matched to businesses on Statistics Canada’s Business Register (BR).

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: The output will be in the form of tables which present a series of descriptive statistics for enterprises surveyed by CSA in sectors of space-related activities. The tables of interest will present the mean of sales; employment; export; revenue by year, province and NAICS.

A table production dataset will be produced and the fully integrated database will be used by Statistics Canada’s Centre for Special Business Projects 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: Employment and Social Development Canada and the Canada Mortgage and Housing Corporation have requested a data linkage of shelter residents to better understand the income and housing situations of persons enumerated in shelters during the 2011 and 2016 Census cycles. The linked file will be used for the development of analytical research projects that will aid in determining how to support the vulnerable Canadians in maintaining safe, stable and affordable housing.

Output: All access to the linked microdata file will be restricted to Statistics Canada personnel (including Statistics Canada deemed employees) whose work activities require approval and access. Research reports and presentations to various groups will be generated from the analysis file. Only non-confidential aggregate data or tables conforming to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada.

Security measures for the linking keys, identifiers and analysis file will conform to Statistics Canada's policies and standards. All direct identifiers will be removed from the analysis file once linkage is complete. The analysis file will be made available to Statistics Canada researchers, and to deemed employees at the Statistics Canada Research Data Centres under the Directive on the Use of Deemed Employees. 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 better understand the full scope and magnitude of the economic burden of out-of-pocket costs paid by cancer patients and survivors. To that end, the Survey of Household Spending (SHS) will be linked to the Canadian Cancer Registry. This linked cohort, as well as a case-matched control cohort, will be linked to the T1 Personal Master File (T1PMF), to health administrative databases such as the Discharge Abstract Database (DAD), the National Ambulatory Care Reporting System (NACRS) and the Ontario Mental Health Reporting System (OMHRS), and to the Canadian Vital Statistics Deaths Database (CVSD).

Output: All access to the linked microdata file will be restricted to Statistics Canada personnel (including Statistics Canada deemed employees) whose work activities require access. Only aggregate data that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. Findings will be used in research papers and in presentations at workshops and conferences. Statistics Canada will also explore opportunities to collaborate with the client, as well as other partners, on data releases on this topic.

Purpose: This study will examine the feasibility and validity of linking the CSD to longitudinal data from the T1FF. This data could be used to inform policy stakeholders and to address important research questions. The data aims to provide the most up-to-date information on the use of disability benefits by Canadians aged 15 and over whose daily activities were limited due to a long-term condition or health-related problem. Second, socio-demographic characteristics of beneficiaries will be described. Thirdly, we will examine the association between disability characteristics (type, severity, and duration) and disability benefit receipt.

Output: a report and presentation deck on the validity of linking the CSD to longitudinal data from the T1FF will be prepared.

If successful, non-confidential aggregate data will be used for possible dissemination products such as research article(s), presentation decks, and/ or reports to stakeholders as well as a linked data file available in the RDCs.

Purpose: This project is part of a large study of the potential impact of a Basic Income as a policy tool for British Columbia. ‘Basic Income’ refers to a program of transfer payments, through which the government would guarantee that everyone has income that exceeds a specific minimum level. For example, through the Guaranteed Income Supplement and Old Age Security, people over age 65 in Canada are guaranteed to have an income no lower than $18,000 a year.

The project will estimate the impacts of existing transfers on childhood educational outcomes as a basis for predicting the impact of a Basic Income. The key research question is: do changes in transfer income for parents (including transfers from Income Assistance and Employment Insurance) affect children’s educational attainment, future success in the labour market, and future receipt of benefits?

The results of the study will have direct impacts on policy deliberations and, ultimately, on the form of the transfer system aimed at helping the most vulnerable in our society. The results would also likely serve as an input to discussions in other jurisdictions, including at the federal level.

Output: The linked analysis file, with all identifiers removed, will be made available to researchers with approved projects in the Statistics Canada Research Data Centres (RDCs) who are deemed employees of Statistics Canada.

In particular, for the purposes of the BC Basic Income study project, each researcher involved with the project will prepare a report. The reports will be disseminated in three ways:

1) They will become part of the overall project report to the BC government.

2) They will be compiled as chapters in a book on analysing basic income which, it is anticipated, will be published by the Institute for Research on Public Policy (IRPP) and sold publicly.

3) Researchers may convert their reports into academic papers, which they will submit to peer reviewed journals.

Purpose: To study the feasibility of providing more timely and frequent data sources for persons living in shelters by using administrative data.

While the Census can provide data for persons living in shelters, the Census only collects data every 5 years. By linking administrative data with the Dwelling Universe file, it may be possible to develop techniques to identify a certain portion of persons living in shelters using administrative data, which is available on an annual basis. An assessment of these methods will be performed by linking to Census data (2006 to 2016).

This would provide a timelier source of data to study persons living in shelters.

Output: Statistics Canada will prepare a set of analytical tables, containing only aggregate data which conform to the confidentiality provisions of the Statistics Act and any applicable requirements of the Privacy Act.

Purpose: This project is intended to facilitate timely access of approved researchers operating in Statistic Canada’s Research Data Centres to detailed 2016 Census long-form characteristics data linked with annual snapshot files from the Longitudinal Administrative Database (LAD).

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 containing linked data will be disseminated in accordance with Statistics Canada's policies, guidelines and standards. Outputs from this linkage will include a wide range of analysis and standard data tables, as well as custom tabulations.

Purpose: The purpose of the project is to study: the career paths of immigrants and temporary residents; the role of firms in facilitating the integration and assimilation of immigrants to Canadian economy; and the impacts of immigrant and temporary residents on firm growth, international trade, innovation, and local labor markets. To carry out the project, a linked file consisting of immigrants and temporary residents in the Longitudinal Immigration Database (IMDB), a 20% sample of the Canadian-born population in the Longitudinal Administrative Databank (LAD), and businesses in the Canadian Employer-Employee Dynamics Database (CEEDD) will be created. Existing linkages do not provide information on the employers where immigrants and temporary residents work. Results from this project can help Immigration, Refugees and Citizenship Canada assess and improve the effectiveness of immigrant and temporary resident programs and develop policies to attract and retain the right skill and talents needed for new digital economy.

Output: Security measures for the linking keys, identifiers and linked analysis file will conform to Statistics Canada’s policies and standards. All direct business and individual identifiers will be removed from the analysis file once linkage is complete. The linked 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. External researchers can only access the firm-level information in Statistics Canada’s Researcher Data Centers (RDCs) that remove any direct identifiers and identifiable information. The firm-level information is transformed into categorical variables to prevent the identification of firms from the aggregation of the individual-level data. Only non-confidential aggregate statistics and analyses conforming to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada.

Purpose: The proposed project would link a database of approximately 400 firms affected and not affected by the clean energy transition to Statistics Canada administrative databases.

The clean energy transition presents both opportunities and challenges to Canadian workers, as some sectors are likely to contract, and some expand, when greenhouse gas policies are applied. An obvious example is in the electricity generation sector, where reducing greenhouse gas emissions may involve closure of coal-fired generating plants, and expansion of renewable power generating facilities. For example, in Canada, power generated by coal generating plants has decreased substantially since 2000 especially due to the phase-out of coal generation in Ontario, whereas power generated by wind has increased from near zero in 2005 to 6 percent of Canada's electricity supply as of 2018.

Statistics Canada’s Centre for Special Business Projects (CSBP) would like to examine how the clean energy transition is affecting Canadian workers but, more specifically, on how rapid changes in regulation, prices, and technology in the electricity generation sector have affected workers in this sector. Also, a special attention will be on the phase-out of coal fired electricity generation in Ontario as well as the rapid expansion of renewable generation across the country.

Consequently, with the mandate letters in mind, two research questions will be investigated:

• What are the transitional impacts of coal-plant closure on employee outcomes?
• What are the economics implications of renewable energy development?

To do so, data of firms affected and not affected by the clean energy transition will be provided to CSBP for the linkage. The database provided to Statistics Canada will include: business name, mailing or street address, city/town, province, postal code, business phone number, and website address (if available).

Output: The output will be in the form of an analytical document. The linked list of businesses will be housed at Statistics Canada’s Centre for Special Business Projects.

A research dataset will be produced and the full integrated database will also be maintained in Statistics Canada’s Canadian Centre for Special Business Projects.

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.