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- Articles and reports: 11-633-X2021009Description:
This study assesses the degree to which administrative data, namely the Statistics Canada Longitudinal Worker File, can be used to construct individuals’ work histories. It describes why information obtained from work histories is useful, provides a brief overview of Canadian datasets that have measured work histories to date, and highlights the strengths and weaknesses of the Longitudinal Worker File, and household surveys regarding the construction of individuals’ work histories.
Release date: 2021-12-09 - Articles and reports: 36-28-0001202100100004Description:
In recent years, technological advancements in artificial intelligence and machine learning have broadened the realm of tasks that have the potential to be accomplished through automation technology. Consequently, these developments have raised questions about the future of work. Debate on this issue has focused primarily on the risk of job loss attributable to automation, with less attention given to how automation may change the nature of workers’ jobs. This study employs a task-based approach that shifts the focus from job replacement to changes in the nature of Canadians’ work. This approach views occupations as a set of tasks, allowing researchers to assess the effects of automation in the context of changes in occupational tasks.
Release date: 2021-01-27 - Articles and reports: 36-28-0001202100100005Description:
Around the world, one critical response to the COVID-19 pandemic has been the implementation of physical distancing measures. These policies, which are necessary to contain the spread of the virus, have had serious consequences on the organization of work. This study used the Labour Force Survey (LFS), which makes it possible to compare the estimates of the hours worked in an employee’s main job in 2020 with the 2017-to-2019 average of hours worked (hereafter referred to as the “baseline”). The main contribution of the article is that it provides estimates of the effects of the COVID-19 pandemic not only by industry and province but also by firm size, which is an important dimension more rarely discussed.
Release date: 2021-01-27
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- Articles and reports: 11-633-X2021009Description:
This study assesses the degree to which administrative data, namely the Statistics Canada Longitudinal Worker File, can be used to construct individuals’ work histories. It describes why information obtained from work histories is useful, provides a brief overview of Canadian datasets that have measured work histories to date, and highlights the strengths and weaknesses of the Longitudinal Worker File, and household surveys regarding the construction of individuals’ work histories.
Release date: 2021-12-09 - Articles and reports: 36-28-0001202100100004Description:
In recent years, technological advancements in artificial intelligence and machine learning have broadened the realm of tasks that have the potential to be accomplished through automation technology. Consequently, these developments have raised questions about the future of work. Debate on this issue has focused primarily on the risk of job loss attributable to automation, with less attention given to how automation may change the nature of workers’ jobs. This study employs a task-based approach that shifts the focus from job replacement to changes in the nature of Canadians’ work. This approach views occupations as a set of tasks, allowing researchers to assess the effects of automation in the context of changes in occupational tasks.
Release date: 2021-01-27 - Articles and reports: 36-28-0001202100100005Description:
Around the world, one critical response to the COVID-19 pandemic has been the implementation of physical distancing measures. These policies, which are necessary to contain the spread of the virus, have had serious consequences on the organization of work. This study used the Labour Force Survey (LFS), which makes it possible to compare the estimates of the hours worked in an employee’s main job in 2020 with the 2017-to-2019 average of hours worked (hereafter referred to as the “baseline”). The main contribution of the article is that it provides estimates of the effects of the COVID-19 pandemic not only by industry and province but also by firm size, which is an important dimension more rarely discussed.
Release date: 2021-01-27
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