Analysis

Traditional age-earnings profiles, based on cross-sectional data, typically follow an inverted U-shaped pattern with annual earnings peaking around middle age. With longitudinal data on hourly earnings, the picture changes considerably.

Retirement is a process rather than a discrete event. Many older workers who start receiving a pension stay in the labour market in some capacity for roughly two to three years before they completely cease employment. And many who quit paid work at one point subsequently return to the labour market, especially in the first year after leaving their career job. For a substantial proportion of older workers, this 'bridge employment appears to be a choice rather than a necessity.

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.

The Survey of Labour and Income Dynamics (SLID) is a longitudinal survey initiated in 1993. The survey was designed to measure changes in the economic well-being of Canadians as well as the factors affecting these changes.

Sample surveys are subject to errors. As with all surveys conducted at Statistics Canada, considerable time and effort is taken to control such errors at every stage of the Survey of Labour and Income Dynamics. Nonetheless errors do occur. It is the policy at Statistics Canada to furnish users with measures of data quality so that the user is able to interpret the data properly. This report summarizes a set of quality measures that has been produced in an attempt to describe the overall quality of SLID data. Among the measures included in the report are sample composition and attrition rates, sampling errors, coverage errors in the form of slippage rates, response rates, tax permission and tax linkage rates, and imputation rates.

The Survey of Labour and Income Dynamics (SLID) is a longitudinal survey initiated in 1993. The survey was designed to measure changes in the economic well-being of Canadians as well as the factors affecting these changes.

Sample surveys are subject to errors. As with all surveys conducted at Statistics Canada, considerable time and effort is taken to control such errors at every stage of the Survey of Labour and Income Dynamics. Nonetheless errors do occur. It is the policy at Statistics Canada to furnish users with measures of data quality so that the user is able to interpret the data properly. This report summarizes a set of quality measures that has been produced in an attempt to describe the overall quality of SLID data. Among the measures included in the report are sample composition and attrition rates, sampling errors, coverage errors in the form of slippage rates, response rates, tax permission and tax linkage rates, and imputation rates.

For some time, Canada Mortgage and Housing Corporation (CMHC) has used data on housing characteristics and housing-related expenditures from the Census of Population. Although the Census data source serves CMHC's purposes to a large extent, the federal government agency turned to the annual household surveys of Statistics Canada to provide information on a more frequent basis. This would allow them to have a better picture of annual trends, and perhaps have a greater choice of other characteristics with which to cross housing data on Canadian households. In 2001, CMHC began to sponsor additional content in both the Survey of Labour and Income Dynamics (SLID) and the Survey of Household Spending (SHS), starting with reference year 2002.

The Survey of Labour and Income Dynamics (SLID) is a longitudinal survey initiated in 1993. The survey was designed to measure changes in the economic well-being of Canadians as well as the factors affecting these changes.

Sample surveys are subject to errors. As with all surveys conducted at Statistics Canada, considerable time and effort is taken to control such errors at every stage of the Survey of Labour and Income Dynamics. Nonetheless errors do occur. It is the policy at Statistics Canada to furnish users with measures of data quality so that the user is able to interpret the data properly. This report summarizes a set of quality measures that has been produced in an attempt to describe the overall quality of SLID data. Among the measures included in the report are sample composition and attrition rates, sampling errors, coverage errors in the form of slippage rates, response rates, tax permission and tax linkage rates, and imputation rates.

This report presents an update to the results from the Survey of Labour and Income Dynamics (SLID) and the Survey of Consumer Finances (SCF) for a variety of important time series and it compares the estimates from the two sources.

This report presents results from the Survey of Labour and Income Dynamics (SLID) and the Survey of Consumer Finances (SCF) for a variety of important time series and compares the estimates from the two sources.

Traditional age-earnings profiles, based on cross-sectional data, typically follow an inverted U-shaped pattern with annual earnings peaking around middle age. With longitudinal data on hourly earnings, the picture changes considerably.

Retirement is a process rather than a discrete event. Many older workers who start receiving a pension stay in the labour market in some capacity for roughly two to three years before they completely cease employment. And many who quit paid work at one point subsequently return to the labour market, especially in the first year after leaving their career job. For a substantial proportion of older workers, this 'bridge employment appears to be a choice rather than a necessity.

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.

The Survey of Labour and Income Dynamics (SLID) is a longitudinal survey initiated in 1993. The survey was designed to measure changes in the economic well-being of Canadians as well as the factors affecting these changes.

Sample surveys are subject to errors. As with all surveys conducted at Statistics Canada, considerable time and effort is taken to control such errors at every stage of the Survey of Labour and Income Dynamics. Nonetheless errors do occur. It is the policy at Statistics Canada to furnish users with measures of data quality so that the user is able to interpret the data properly. This report summarizes a set of quality measures that has been produced in an attempt to describe the overall quality of SLID data. Among the measures included in the report are sample composition and attrition rates, sampling errors, coverage errors in the form of slippage rates, response rates, tax permission and tax linkage rates, and imputation rates.

The Survey of Labour and Income Dynamics (SLID) is a longitudinal survey initiated in 1993. The survey was designed to measure changes in the economic well-being of Canadians as well as the factors affecting these changes.

Sample surveys are subject to errors. As with all surveys conducted at Statistics Canada, considerable time and effort is taken to control such errors at every stage of the Survey of Labour and Income Dynamics. Nonetheless errors do occur. It is the policy at Statistics Canada to furnish users with measures of data quality so that the user is able to interpret the data properly. This report summarizes a set of quality measures that has been produced in an attempt to describe the overall quality of SLID data. Among the measures included in the report are sample composition and attrition rates, sampling errors, coverage errors in the form of slippage rates, response rates, tax permission and tax linkage rates, and imputation rates.

For some time, Canada Mortgage and Housing Corporation (CMHC) has used data on housing characteristics and housing-related expenditures from the Census of Population. Although the Census data source serves CMHC's purposes to a large extent, the federal government agency turned to the annual household surveys of Statistics Canada to provide information on a more frequent basis. This would allow them to have a better picture of annual trends, and perhaps have a greater choice of other characteristics with which to cross housing data on Canadian households. In 2001, CMHC began to sponsor additional content in both the Survey of Labour and Income Dynamics (SLID) and the Survey of Household Spending (SHS), starting with reference year 2002.

The Survey of Labour and Income Dynamics (SLID) is a longitudinal survey initiated in 1993. The survey was designed to measure changes in the economic well-being of Canadians as well as the factors affecting these changes.

Sample surveys are subject to errors. As with all surveys conducted at Statistics Canada, considerable time and effort is taken to control such errors at every stage of the Survey of Labour and Income Dynamics. Nonetheless errors do occur. It is the policy at Statistics Canada to furnish users with measures of data quality so that the user is able to interpret the data properly. This report summarizes a set of quality measures that has been produced in an attempt to describe the overall quality of SLID data. Among the measures included in the report are sample composition and attrition rates, sampling errors, coverage errors in the form of slippage rates, response rates, tax permission and tax linkage rates, and imputation rates.

This report presents an update to the results from the Survey of Labour and Income Dynamics (SLID) and the Survey of Consumer Finances (SCF) for a variety of important time series and it compares the estimates from the two sources.

This report presents results from the Survey of Labour and Income Dynamics (SLID) and the Survey of Consumer Finances (SCF) for a variety of important time series and compares the estimates from the two sources.