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All (33) (0 to 10 of 33 results)

  • 1. Experimental estimates of family weekly income, January 2020 to March 2021
    Articles and reports: 75F0002M2021006
    Description:

    Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This update extends earlier, experimental research into monthly family income trends of Canadians over the pandemic period. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. This update incorporates additional data sources and takes into account the emergency programs introduced at the beginning of the pandemic as well as the recovery programs introduced in late September 2020 to replace them. Population coverage is consistent with the second edition, however experimental estimates have been updated and extended through March 2021. The paper describes the data sources used, estimation strategies employed, limitations, and potential future developments.

    Release date: 2021-07-28
  • 2. Experimental estimates of family weekly income, update
    Articles and reports: 75F0002M2021002
    Description:

    Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This update extends earlier, experimental research into monthly family income trends of Canadians over the pandemic period. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. This update incorporates additional sources of data, and accounts for new pandemic relief programs introduced after September 2020. Population coverage is improved, and experimental estimates are updated and extended through December 2020. The paper describes the data sources used, estimation strategies employed, limitations, and potential future developments.

    Release date: 2021-03-23
  • 3. Experimental estimates of family weekly income for January to September 2020
    Articles and reports: 75F0002M2020004
    Description:

    Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This research paper highlights experimental methods designed to measure the impact of the pandemic on month-by-month family income trends of Canadians long before detailed annual statistics become available. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. The objective is to shed light on the impact of labour market disruptions on Canadians and their families and the extent to which emergency benefits introduced by the government offset these disruptions. This paper describes the data sources used, estimation strategies employed, initial results, limitations, and potential future developments.

    Release date: 2020-12-18
  • 4. The association between skills and low income Archived
    Articles and reports: 75-006-X201600114322
    Description:

    This article explores how skill proficiencies are related to household income for Canadians aged 16 to 65 using data from the first wave of the Longitudinal and International Study of Adults (LISA), conducted in 2012. The article also demonstrates how the relationship between skill level and low income changes after controlling for other characteristics known to increase the risk of low income.

    Release date: 2016-02-24
  • 5. Income Inequality and Redistribution in Canada: 1976 to 2004 Archived
    Articles and reports: 11F0019M2007298
    Geography: Canada
    Description:

    Using data from the 1976-to-1997 Survey of Consumer Finances and the 1993-to-2004 Survey of Labour and Income Dynamics, we examine developments in family income inequality, income polarization, relative low income, and income redistribution through the tax-transfer system. We conclude that family after-tax-income inequality was stable across the 1980s, but rose during the 1989-to-2004 period.

    Growth in family after-tax-income inequality can be due to an increase in family market-income inequality (pre-tax, pre-transfer), or to a reduction in income redistribution through the tax-transfer system.

    We conclude that the increase in inequality was associated with a rise in family market-income inequality. Redistribution was at least as high in 2004 as it was at earlier cyclical peaks, but it failed to keep up with rapid growth in family market-income inequality in the 1990s.

    We present income inequality, polarization, and low-income statistics for several well-known measures, and use data preparations identical to those used in the Luxembourg Income Study in order to facilitate international comparisons.

    Release date: 2007-05-11
  • 6. Work hours instability Archived
    Articles and reports: 75-001-X20061129544
    Geography: Canada
    Description:

    Discussions related to work hours are typically driven by cross-sectional studies. Much less is known about the longitudinal perspective and the persistence of long hours or periods of underemployment. The annual hours of employees are examined over a five-year period to determine what proportion experience variable work years and how their well-being is affected.

    Release date: 2007-03-20
  • 7. Understanding Regional Differences in Work Hours Archived
    Articles and reports: 11F0019M2007293
    Geography: Canada, Geographical region of Canada, Province or territory
    Description:

    In recent years, differences in working hours between Canada and other countries have been the focus of a substantial body of research. Much less attention has been paid to regional differences in work hours, although differences in average annual work hours between some regions are of an order of magnitude that is similar to that of the Canada-U.S. difference. Using data from the 2004 Survey of Labour and Income Dynamics, this study examines how much of differences in working time between Ontario and five other regions of Canada can be explained by 'observable' differences, including differences in union status, industrial structure, job conditions and demographic characteristics. 'Observables' were relatively efficient in explaining differences in the shares of individuals working a short year and working a full-year, full-time schedule. However, they were not very helpful in explaining differences in long work hours, did not entirely explain the larger share of short-year workers in the Atlantic and in British Columbia, and did not explain the huge popularity of the 'low' full-year, full-time schedule in Quebec. These differences that remain unexplained suggest that 'unobservable' factors (those that are difficult to observe in household surveys) also contribute to regional differences in work hours. These include incentives related to wage inequality, possible tax incentives (or disincentives) built upon progressive taxation policies, differences in job conditions, in preferences and tastes, and in the shape of institutions.

    Release date: 2007-01-22
  • 8. Canada's Global Cities: Socio-economic Conditions in Montréal, Toronto and Vancouver Archived
    Articles and reports: 89-613-M2006010
    Geography: Census metropolitan area
    Description:

    This report paints a statistical portrait of socio-economic conditions in the Census Metropolitan Areas (CMAs) of Toronto, Montréal and Vancouver. It highlights trends in population growth, suburban growth, commuting, employment, unemployment, immigration, income and low-income and socio-economic conditions among immigrants, Aboriginal People, and others. It uses data from the 1981 to 2001 Censuses of Canada, the 2005 Labour Force Historical Review, and Income in Canada, 2004.

    Release date: 2006-07-20
  • 9. Work Hours Instability in Canada Archived
    Articles and reports: 11F0019M2006278
    Geography: Canada
    Description:

    Numerous studies of working hours have drawn important conclusions from cross-sectional surveys. For example, the share of individuals working long hours is quite large at any given point in time. Moreover, this appears to have increased over the past two decades, raising the call for policies designed to alleviate working hours discrepancies among workers, or reduce working time overall. However, if work hours vary substantially at the individual level over time, then conclusions based upon studies of cross-sectional data may be incomplete. Using longitudinal data from the Canadian Survey of Labour and Income Dynamics, we find that there is substantial variation in annual working hours at the individual level. In fact, as much as half of the cross-sectional inequality in annual work hours can be explained by individual-level instability in hours. Moreover, very few individuals work chronically long hours. Instability in work hours is shown to be related to low-job quality, non-standard work, low-income levels, stress and bad health. This indicates that working variable work hours is not likely done by choice; rather, it is more likely that these workers are unable to secure more stable employment. The lack of persistence in long work hours, plus the high level of individual work hours instability undermines the equity based arguments behind working time reduction policies. Furthermore, this research points out that policies designed to reduce hours instability could benefit workers.

    Release date: 2006-03-29
  • 10. Summary Of: Work Hours Instability in Canada Archived
    Articles and reports: 11F0019M2006279
    Geography: Canada
    Description:

    This article summarizes findings from the research paper entitled: Work Hours Instability in Canada.

    Numerous studies of working hours have drawn important conclusions from cross-sectional surveys. For example, the share of individuals working long hours is quite large at any given point in time. Moreover, this appears to have increased over the past two decades, raising the call for policies designed to alleviate working hours discrepancies among workers, or reduce working time overall. However, if work hours vary substantially at the individual level over time, then conclusions based upon studies of cross-sectional data may be incomplete. Using longitudinal data from the Canadian Survey of Labour and Income Dynamics, we find that there is substantial variation in annual working hours at the individual level. In fact, as much as half of the cross-sectional inequality in annual work hours can be explained by individual-level instability in hours. Moreover, very few individuals work chronically long hours. Instability in work hours is shown to be related to low-job quality, non-standard work, low-income levels, stress and bad health. This indicates that working variable work hours is not likely done by choice; rather, it is more likely that these workers are unable to secure more stable employment. The lack of persistence in long work hours, plus the high level of individual work hours instability undermines the equity based arguments behind working time reduction policies. Furthermore, this research points out that policies designed to reduce hours instability could benefit workers.

    Release date: 2006-03-29
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Articles and reports (33)

Articles and reports (33) (0 to 10 of 33 results)

  • 1. Experimental estimates of family weekly income, January 2020 to March 2021
    Articles and reports: 75F0002M2021006
    Description:

    Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This update extends earlier, experimental research into monthly family income trends of Canadians over the pandemic period. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. This update incorporates additional data sources and takes into account the emergency programs introduced at the beginning of the pandemic as well as the recovery programs introduced in late September 2020 to replace them. Population coverage is consistent with the second edition, however experimental estimates have been updated and extended through March 2021. The paper describes the data sources used, estimation strategies employed, limitations, and potential future developments.

    Release date: 2021-07-28
  • 2. Experimental estimates of family weekly income, update
    Articles and reports: 75F0002M2021002
    Description:

    Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This update extends earlier, experimental research into monthly family income trends of Canadians over the pandemic period. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. This update incorporates additional sources of data, and accounts for new pandemic relief programs introduced after September 2020. Population coverage is improved, and experimental estimates are updated and extended through December 2020. The paper describes the data sources used, estimation strategies employed, limitations, and potential future developments.

    Release date: 2021-03-23
  • 3. Experimental estimates of family weekly income for January to September 2020
    Articles and reports: 75F0002M2020004
    Description:

    Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This research paper highlights experimental methods designed to measure the impact of the pandemic on month-by-month family income trends of Canadians long before detailed annual statistics become available. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. The objective is to shed light on the impact of labour market disruptions on Canadians and their families and the extent to which emergency benefits introduced by the government offset these disruptions. This paper describes the data sources used, estimation strategies employed, initial results, limitations, and potential future developments.

    Release date: 2020-12-18
  • 4. The association between skills and low income Archived
    Articles and reports: 75-006-X201600114322
    Description:

    This article explores how skill proficiencies are related to household income for Canadians aged 16 to 65 using data from the first wave of the Longitudinal and International Study of Adults (LISA), conducted in 2012. The article also demonstrates how the relationship between skill level and low income changes after controlling for other characteristics known to increase the risk of low income.

    Release date: 2016-02-24
  • 5. Income Inequality and Redistribution in Canada: 1976 to 2004 Archived
    Articles and reports: 11F0019M2007298
    Geography: Canada
    Description:

    Using data from the 1976-to-1997 Survey of Consumer Finances and the 1993-to-2004 Survey of Labour and Income Dynamics, we examine developments in family income inequality, income polarization, relative low income, and income redistribution through the tax-transfer system. We conclude that family after-tax-income inequality was stable across the 1980s, but rose during the 1989-to-2004 period.

    Growth in family after-tax-income inequality can be due to an increase in family market-income inequality (pre-tax, pre-transfer), or to a reduction in income redistribution through the tax-transfer system.

    We conclude that the increase in inequality was associated with a rise in family market-income inequality. Redistribution was at least as high in 2004 as it was at earlier cyclical peaks, but it failed to keep up with rapid growth in family market-income inequality in the 1990s.

    We present income inequality, polarization, and low-income statistics for several well-known measures, and use data preparations identical to those used in the Luxembourg Income Study in order to facilitate international comparisons.

    Release date: 2007-05-11
  • 6. Work hours instability Archived
    Articles and reports: 75-001-X20061129544
    Geography: Canada
    Description:

    Discussions related to work hours are typically driven by cross-sectional studies. Much less is known about the longitudinal perspective and the persistence of long hours or periods of underemployment. The annual hours of employees are examined over a five-year period to determine what proportion experience variable work years and how their well-being is affected.

    Release date: 2007-03-20
  • 7. Understanding Regional Differences in Work Hours Archived
    Articles and reports: 11F0019M2007293
    Geography: Canada, Geographical region of Canada, Province or territory
    Description:

    In recent years, differences in working hours between Canada and other countries have been the focus of a substantial body of research. Much less attention has been paid to regional differences in work hours, although differences in average annual work hours between some regions are of an order of magnitude that is similar to that of the Canada-U.S. difference. Using data from the 2004 Survey of Labour and Income Dynamics, this study examines how much of differences in working time between Ontario and five other regions of Canada can be explained by 'observable' differences, including differences in union status, industrial structure, job conditions and demographic characteristics. 'Observables' were relatively efficient in explaining differences in the shares of individuals working a short year and working a full-year, full-time schedule. However, they were not very helpful in explaining differences in long work hours, did not entirely explain the larger share of short-year workers in the Atlantic and in British Columbia, and did not explain the huge popularity of the 'low' full-year, full-time schedule in Quebec. These differences that remain unexplained suggest that 'unobservable' factors (those that are difficult to observe in household surveys) also contribute to regional differences in work hours. These include incentives related to wage inequality, possible tax incentives (or disincentives) built upon progressive taxation policies, differences in job conditions, in preferences and tastes, and in the shape of institutions.

    Release date: 2007-01-22
  • 8. Canada's Global Cities: Socio-economic Conditions in Montréal, Toronto and Vancouver Archived
    Articles and reports: 89-613-M2006010
    Geography: Census metropolitan area
    Description:

    This report paints a statistical portrait of socio-economic conditions in the Census Metropolitan Areas (CMAs) of Toronto, Montréal and Vancouver. It highlights trends in population growth, suburban growth, commuting, employment, unemployment, immigration, income and low-income and socio-economic conditions among immigrants, Aboriginal People, and others. It uses data from the 1981 to 2001 Censuses of Canada, the 2005 Labour Force Historical Review, and Income in Canada, 2004.

    Release date: 2006-07-20
  • 9. Work Hours Instability in Canada Archived
    Articles and reports: 11F0019M2006278
    Geography: Canada
    Description:

    Numerous studies of working hours have drawn important conclusions from cross-sectional surveys. For example, the share of individuals working long hours is quite large at any given point in time. Moreover, this appears to have increased over the past two decades, raising the call for policies designed to alleviate working hours discrepancies among workers, or reduce working time overall. However, if work hours vary substantially at the individual level over time, then conclusions based upon studies of cross-sectional data may be incomplete. Using longitudinal data from the Canadian Survey of Labour and Income Dynamics, we find that there is substantial variation in annual working hours at the individual level. In fact, as much as half of the cross-sectional inequality in annual work hours can be explained by individual-level instability in hours. Moreover, very few individuals work chronically long hours. Instability in work hours is shown to be related to low-job quality, non-standard work, low-income levels, stress and bad health. This indicates that working variable work hours is not likely done by choice; rather, it is more likely that these workers are unable to secure more stable employment. The lack of persistence in long work hours, plus the high level of individual work hours instability undermines the equity based arguments behind working time reduction policies. Furthermore, this research points out that policies designed to reduce hours instability could benefit workers.

    Release date: 2006-03-29
  • 10. Summary Of: Work Hours Instability in Canada Archived
    Articles and reports: 11F0019M2006279
    Geography: Canada
    Description:

    This article summarizes findings from the research paper entitled: Work Hours Instability in Canada.

    Numerous studies of working hours have drawn important conclusions from cross-sectional surveys. For example, the share of individuals working long hours is quite large at any given point in time. Moreover, this appears to have increased over the past two decades, raising the call for policies designed to alleviate working hours discrepancies among workers, or reduce working time overall. However, if work hours vary substantially at the individual level over time, then conclusions based upon studies of cross-sectional data may be incomplete. Using longitudinal data from the Canadian Survey of Labour and Income Dynamics, we find that there is substantial variation in annual working hours at the individual level. In fact, as much as half of the cross-sectional inequality in annual work hours can be explained by individual-level instability in hours. Moreover, very few individuals work chronically long hours. Instability in work hours is shown to be related to low-job quality, non-standard work, low-income levels, stress and bad health. This indicates that working variable work hours is not likely done by choice; rather, it is more likely that these workers are unable to secure more stable employment. The lack of persistence in long work hours, plus the high level of individual work hours instability undermines the equity based arguments behind working time reduction policies. Furthermore, this research points out that policies designed to reduce hours instability could benefit workers.

    Release date: 2006-03-29
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