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All (13) (0 to 10 of 13 results)

  • Articles and reports: 11-626-X2016066
    Description:

    This Economic Insights article assesses the effect of falling commodity prices on Canadian real income. It is part of a research program that examines links between natural resources and economic growth.

    Release date: 2016-12-22

  • Articles and reports: 11-630-X2016009
    Description:

    This issue of Canadian Megatrends describes the share of market income earned by the highest earners in society and how that portion has changed from 1920 to 2014.

    Release date: 2016-12-16

  • Articles and reports: 11F0019M2016381
    Description:

    Changes in health status may affect not just the individuals who experience such changes, but also their family members. For example, if the main earner in a family loses his or her ability to generate income due to a health shock, it invariably affects the financial situation of the spouse and other dependents. In addition, spouses and working-age children may themselves increase or reduce their labour supply to make up for the lost income (“added worker effect”) or care for a sick family member (“caregiver effect”). Since consumption smoothing and self-insurance occur at the household level, the financial effects of health for other family members have important policy implications. To shed light on such effects, this study analyzes how one spouse’s cancer diagnosis affects the employment and earnings of the other spouse and (before-tax) total family income using administrative data from Canada.

    Release date: 2016-07-22

  • Articles and reports: 75F0002M2016002
    Description:

    Statistics Canada currently measures low-income using three low income lines: the Low Income Cut-offs (LICOs), the Low Income Measures (LIMs), and the Market Basket Measure (MBM). This publication provides a description of the methods used to arrive at each of these thresholds. It also explains how low-income status and various low-income statistics are determined. Tables presenting thresholds and low-income statistics are available on CANSIM.

    Release date: 2016-07-08

  • Articles and reports: 75F0002M2016003
    Description:

    Periodically, income statistics are updated to reflect the most recent population estimates from the Census. Accordingly, with the release of the 2014 data from the Canadian Income Survey, Statistics Canada has revised estimates for 2006 to 2013 using new population totals from the 2011 Census. This paper provides unrevised estimates alongside revised estimates for key income series, indicating where the revisions were significant.

    Release date: 2016-07-08

  • Articles and reports: 11-626-X2016059
    Description:

    This Economic Insights article examines the extent to which the lifetime income of children is correlated with the lifetime income of their fathers—a topic known as intergenerational income mobility. The analysis uses data from Statistics Canada’s Intergenerational Income Database, which links together children and their parents using tax files. The data provides information that permits the comparison of the income of children to those of parents at a similar stage of the lifecycle. A longer, more detailed study is also available.

    Release date: 2016-06-17

  • Articles and reports: 11F0019M2016379
    Description:

    Comparative studies of intergenerational earnings and income mobility largely rank Canada as one of the most mobile countries among advanced economies, such as Denmark, Finland and Norway. The assertion that Canada is a highly mobile society is drawn from intergenerational income elasticity estimates reported in Corak and Heisz (1999). Corak and Heisz used data from the earlier version of the Intergenerational Income Database (IID), which tracked income of Canadian youth only into their early thirties. Recent theoretical literature, however, suggests that the relationship between childrens’ and parents’ lifetime income may not be accurately estimated when children’s income are not observed from their mid-careers— known as lifecycle bias. The present study addresses this concern by re-examining the extent of intergenerational earnings and income mobility in Canada using the updated version of the IID, which tracks children well into their mid-forties, when mid-career income are observed.

    Release date: 2016-06-17

  • Articles and reports: 75F0002M2016001
    Description:

    The study examines the evolution of income mobility for Canadian taxfilers from both the absolute and the relative perspectives. Using data from the Longitudinal Administrative Databank for the years 1982 to 2012, we estimated several income mobility statistics for overlapping panels of Canadian taxfilers over those 30 years. We also assessed the impact of mobility on long-term income inequality.

    Release date: 2016-05-03

  • Articles and reports: 11F0019M2016376
    Description: The degree to which workers move across geographic areas in response to emerging employment opportunities or negative labour demand shocks is a key element in the adjustment process of an economy, and its ability to reach a desired allocation of resources.

    This study estimates the causal impact of real after-tax annual wages and salaries on the propensity of young men to migrate to Alberta or to accept jobs in that province while maintaining residence in their home province. To do so, it exploits the cross-provincial variation in earnings growth plausibly induced by increases in world oil prices that occurred during the 2000s.

    Release date: 2016-04-11

  • Articles and reports: 75-006-X201600114360
    Description:

    Using data from the 2014 Canadian Financial Capability Survey (CFCS), this article examines the extent to which individuals in the labour force are preparing for retirement and provides another perspective on the relationship between financial literacy and retirement planning.

    Release date: 2016-03-23
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Analysis (12)

Analysis (12) (0 to 10 of 12 results)

  • Articles and reports: 11-626-X2016066
    Description:

    This Economic Insights article assesses the effect of falling commodity prices on Canadian real income. It is part of a research program that examines links between natural resources and economic growth.

    Release date: 2016-12-22

  • Articles and reports: 11-630-X2016009
    Description:

    This issue of Canadian Megatrends describes the share of market income earned by the highest earners in society and how that portion has changed from 1920 to 2014.

    Release date: 2016-12-16

  • Articles and reports: 11F0019M2016381
    Description:

    Changes in health status may affect not just the individuals who experience such changes, but also their family members. For example, if the main earner in a family loses his or her ability to generate income due to a health shock, it invariably affects the financial situation of the spouse and other dependents. In addition, spouses and working-age children may themselves increase or reduce their labour supply to make up for the lost income (“added worker effect”) or care for a sick family member (“caregiver effect”). Since consumption smoothing and self-insurance occur at the household level, the financial effects of health for other family members have important policy implications. To shed light on such effects, this study analyzes how one spouse’s cancer diagnosis affects the employment and earnings of the other spouse and (before-tax) total family income using administrative data from Canada.

    Release date: 2016-07-22

  • Articles and reports: 75F0002M2016002
    Description:

    Statistics Canada currently measures low-income using three low income lines: the Low Income Cut-offs (LICOs), the Low Income Measures (LIMs), and the Market Basket Measure (MBM). This publication provides a description of the methods used to arrive at each of these thresholds. It also explains how low-income status and various low-income statistics are determined. Tables presenting thresholds and low-income statistics are available on CANSIM.

    Release date: 2016-07-08

  • Articles and reports: 75F0002M2016003
    Description:

    Periodically, income statistics are updated to reflect the most recent population estimates from the Census. Accordingly, with the release of the 2014 data from the Canadian Income Survey, Statistics Canada has revised estimates for 2006 to 2013 using new population totals from the 2011 Census. This paper provides unrevised estimates alongside revised estimates for key income series, indicating where the revisions were significant.

    Release date: 2016-07-08

  • Articles and reports: 11-626-X2016059
    Description:

    This Economic Insights article examines the extent to which the lifetime income of children is correlated with the lifetime income of their fathers—a topic known as intergenerational income mobility. The analysis uses data from Statistics Canada’s Intergenerational Income Database, which links together children and their parents using tax files. The data provides information that permits the comparison of the income of children to those of parents at a similar stage of the lifecycle. A longer, more detailed study is also available.

    Release date: 2016-06-17

  • Articles and reports: 11F0019M2016379
    Description:

    Comparative studies of intergenerational earnings and income mobility largely rank Canada as one of the most mobile countries among advanced economies, such as Denmark, Finland and Norway. The assertion that Canada is a highly mobile society is drawn from intergenerational income elasticity estimates reported in Corak and Heisz (1999). Corak and Heisz used data from the earlier version of the Intergenerational Income Database (IID), which tracked income of Canadian youth only into their early thirties. Recent theoretical literature, however, suggests that the relationship between childrens’ and parents’ lifetime income may not be accurately estimated when children’s income are not observed from their mid-careers— known as lifecycle bias. The present study addresses this concern by re-examining the extent of intergenerational earnings and income mobility in Canada using the updated version of the IID, which tracks children well into their mid-forties, when mid-career income are observed.

    Release date: 2016-06-17

  • Articles and reports: 75F0002M2016001
    Description:

    The study examines the evolution of income mobility for Canadian taxfilers from both the absolute and the relative perspectives. Using data from the Longitudinal Administrative Databank for the years 1982 to 2012, we estimated several income mobility statistics for overlapping panels of Canadian taxfilers over those 30 years. We also assessed the impact of mobility on long-term income inequality.

    Release date: 2016-05-03

  • Articles and reports: 11F0019M2016376
    Description: The degree to which workers move across geographic areas in response to emerging employment opportunities or negative labour demand shocks is a key element in the adjustment process of an economy, and its ability to reach a desired allocation of resources.

    This study estimates the causal impact of real after-tax annual wages and salaries on the propensity of young men to migrate to Alberta or to accept jobs in that province while maintaining residence in their home province. To do so, it exploits the cross-provincial variation in earnings growth plausibly induced by increases in world oil prices that occurred during the 2000s.

    Release date: 2016-04-11

  • Articles and reports: 75-006-X201600114360
    Description:

    Using data from the 2014 Canadian Financial Capability Survey (CFCS), this article examines the extent to which individuals in the labour force are preparing for retirement and provides another perspective on the relationship between financial literacy and retirement planning.

    Release date: 2016-03-23
Reference (1)

Reference (1) ((1 result))

  • Surveys and statistical programs – Documentation: 62F0026M2016001
    Description:

    This report describes the quality indicators produced for the 2014 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.

    Release date: 2016-02-12
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