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  • Articles and reports: 11F0019M2023003
    Description: This study combines survey and administrative data to examine the correspondence between paid-employment and self-employment activities reported in each of these data sources by the same individuals. The study also looks at the role of self-employment as a supplemental income source for individuals whose self-declared main labour market activity is wage employment.
    Release date: 2023-06-06

  • Articles and reports: 11F0019M2019025
    Description:

    This study identifies gig workers based on characteristics of their work arrangements and how these are reported in tax data. It introduces a definition of gig work specific to the way work arrangements are reported in the Canadian tax system and estimates the size of the gig economy in Canada using administrative data. The share of gig workers among all workers rose from 5.5% in 2005 to 8.2% in 2016. Some of this increase coincided with the introduction and proliferation of online platforms. The analysis highlights gender differences in the trends and characteristics of gig workers. By linking administrative data to 2016 Census microdata, this study also examines educational and occupational differences in the prevalence of gig workers.

    Release date: 2019-12-16

  • Articles and reports: 75F0002M2019007
    Description:

    Not having a Social Insurance Number (SIN) and not filing taxes may represent challenges to access government programs and supports such as the Canada Education Savings Grant (CESG) and the Canada Learning Bond (CLB). Limited data availability has prevented a full assessment of the extent of these access challenges. This study attempts to address this knowledge gap by analyzing overall differences in SIN possession and tax-filing uptake by family income, levels of parental education, family type and Indigenous identity of the child and age of children using the 2016 Census data augmented with tax-filing and Social Insurance Number possession indicator flags.

    Release date: 2019-06-21

  • Surveys and statistical programs – Documentation: 11-522-X201700014741
    Description:

    Statistics Canada’s mandate includes producing statistical data to shed light on current business issues. The linking of business records is an important aspect of the development, production, evaluation and analysis of these statistical data. As record linkage can intrude on one’s privacy, Statistics Canada uses it only when the public good is clear and outweighs the intrusion. Record linkage is experiencing a revival triggered by a greater use of administrative data in many statistical programs. There are many challenges to business record linkage. For example, many administrative files not have common identifiers, information is recorded is in non-standardized formats, information contains typographical errors, administrative data files are usually large in size, and finally the evaluation of multiple record pairings makes absolute comparison impractical and sometimes impossible. Due to the importance and challenges associated with record linkage, Statistics Canada has been developing a record linkage standard to help users optimize their business record linkage process. For example, this process includes building on a record linkage blocking strategy that reduces the amount of record-pairs to compare and match, making use of Statistics Canada’s internal software to conduct deterministic and probabilistic matching, and creating standard business name and address fields on Statistics Canada’s Business Register. This article gives an overview of the business record linkage methodology and looks at various economic projects which use record linkage at Statistics Canada, these include projects in the National Accounts, International Trade, Agriculture and the Business Register.

    Release date: 2016-03-24
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  • Articles and reports: 11F0019M2023003
    Description: This study combines survey and administrative data to examine the correspondence between paid-employment and self-employment activities reported in each of these data sources by the same individuals. The study also looks at the role of self-employment as a supplemental income source for individuals whose self-declared main labour market activity is wage employment.
    Release date: 2023-06-06

  • Articles and reports: 11F0019M2019025
    Description:

    This study identifies gig workers based on characteristics of their work arrangements and how these are reported in tax data. It introduces a definition of gig work specific to the way work arrangements are reported in the Canadian tax system and estimates the size of the gig economy in Canada using administrative data. The share of gig workers among all workers rose from 5.5% in 2005 to 8.2% in 2016. Some of this increase coincided with the introduction and proliferation of online platforms. The analysis highlights gender differences in the trends and characteristics of gig workers. By linking administrative data to 2016 Census microdata, this study also examines educational and occupational differences in the prevalence of gig workers.

    Release date: 2019-12-16

  • Articles and reports: 75F0002M2019007
    Description:

    Not having a Social Insurance Number (SIN) and not filing taxes may represent challenges to access government programs and supports such as the Canada Education Savings Grant (CESG) and the Canada Learning Bond (CLB). Limited data availability has prevented a full assessment of the extent of these access challenges. This study attempts to address this knowledge gap by analyzing overall differences in SIN possession and tax-filing uptake by family income, levels of parental education, family type and Indigenous identity of the child and age of children using the 2016 Census data augmented with tax-filing and Social Insurance Number possession indicator flags.

    Release date: 2019-06-21
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  • Surveys and statistical programs – Documentation: 11-522-X201700014741
    Description:

    Statistics Canada’s mandate includes producing statistical data to shed light on current business issues. The linking of business records is an important aspect of the development, production, evaluation and analysis of these statistical data. As record linkage can intrude on one’s privacy, Statistics Canada uses it only when the public good is clear and outweighs the intrusion. Record linkage is experiencing a revival triggered by a greater use of administrative data in many statistical programs. There are many challenges to business record linkage. For example, many administrative files not have common identifiers, information is recorded is in non-standardized formats, information contains typographical errors, administrative data files are usually large in size, and finally the evaluation of multiple record pairings makes absolute comparison impractical and sometimes impossible. Due to the importance and challenges associated with record linkage, Statistics Canada has been developing a record linkage standard to help users optimize their business record linkage process. For example, this process includes building on a record linkage blocking strategy that reduces the amount of record-pairs to compare and match, making use of Statistics Canada’s internal software to conduct deterministic and probabilistic matching, and creating standard business name and address fields on Statistics Canada’s Business Register. This article gives an overview of the business record linkage methodology and looks at various economic projects which use record linkage at Statistics Canada, these include projects in the National Accounts, International Trade, Agriculture and the Business Register.

    Release date: 2016-03-24
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