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All (21) (21 of 21 results)

  • Surveys and statistical programs – Documentation: 71-526-X
    Description:

    The Canadian Labour Force Survey (LFS) is the official source of monthly estimates of total employment and unemployment. Following the 2011 census, the LFS underwent a sample redesign to account for the evolution of the population and labour market characteristics, to adjust to changes in the information needs and to update the geographical information used to carry out the survey. The redesign program following the 2011 census culminated with the introduction of a new sample at the beginning of 2015. This report is a reference on the methodological aspects of the LFS, covering stratification, sampling, collection, processing, weighting, estimation, variance estimation and data quality.

    Release date: 2017-12-21

  • Surveys and statistical programs – Documentation: 5190
    Release date: 2013-04-22

  • Surveys and statistical programs – Documentation: 62F0026M2011001
    Description:

    This report describes the quality indicators produced for the 2009 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: 2011-06-16

  • Surveys and statistical programs – Documentation: 62F0026M2010002
    Description:

    This report describes the quality indicators produced for the 2005 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: 2010-04-26

  • Surveys and statistical programs – Documentation: 62F0026M2010003
    Description:

    This report describes the quality indicators produced for the 2006 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: 2010-04-26

  • Surveys and statistical programs – Documentation: 62F0026M2010001
    Description:

    This report describes the quality indicators produced for the 2004 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: 2010-04-26

  • Surveys and statistical programs – Documentation: 62F0026M2009001
    Description:

    This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 1999.)

    This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the various statistics that can be created using expenditure data (e.g., budget share, market share, aggregates and medians)

    Release date: 2008-12-22

  • Surveys and statistical programs – Documentation: 62F0026M2008001
    Description:

    This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 1999.)

    This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the various statistics that can be created using expenditure data (e.g., budget share, market share, aggregates and medians).

    Release date: 2008-02-26

  • Surveys and statistical programs – Documentation: 62F0026M2006001
    Description:

    This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 1999.)

    This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the various statistics that can be created using expenditure data (e.g., budget share, market share, aggregates and medians).

    Release date: 2006-12-12

  • Surveys and statistical programs – Documentation: 71F0031X2006003
    Description:

    This paper introduces and explains modifications made to the Labour Force Survey estimates in January 2006. Some of these modifications include changes to the population estimates, improvements to the public and private sector estimates and historical updates to several small Census Agglomerations (CA).

    Release date: 2006-01-25

  • Surveys and statistical programs – Documentation: 62F0026M2005007
    Description:

    This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 1999.)

    This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the various statistics that can be created using expenditure data (e.g., budget share, market share, aggregates and medians).

    Release date: 2005-12-12

  • Surveys and statistical programs – Documentation: 62F0026M2005006
    Description:

    This report describes the quality indicators produced for the 2003 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: 2005-10-06

  • Surveys and statistical programs – Documentation: 31-533-X
    Description:

    Starting with the August 2004 reference month, the Monthly Survey of Manufacturing (MSM) is using administrative data (Goods and Services Tax files) to derive shipments for a portion of the small establishments in the sample. This document is being published to complement the release of MSM data for that month.

    Release date: 2004-10-15

  • Surveys and statistical programs – Documentation: 62F0026M2004001
    Description:

    This report describes the quality indicators produced for the 2002 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: 2004-09-15

  • Surveys and statistical programs – Documentation: 62F0026M2001004
    Description:

    This guide presents information of interest to users of data from the Survey of Household Spending. Data are collected via personal interview conducted in January, February and March after the reference year using a paper questionnaire. Information is gathered about the spending habits, dwelling characteristics and household equipment of Canadian households during the reference year. The survey covers private households in the ten provinces. (The three territories are surveyed every second year starting in 2001.)

    This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. There is also a section describing the various statistics that can be created using expenditure data (e.g., budget share, market share, and aggregates).

    Release date: 2001-12-12

  • Surveys and statistical programs – Documentation: 13F0026M2001002
    Description:

    The Survey of Financial Security (SFS) will provide information on the net worth of Canadians. In order to do this, information was collected - in May and June 1999 - on the value of the assets and debts of each of the families or unattached individuals in the sample. The value of one particular asset is not easy to determine, or to estimate. That is the present value of the amount people have accrued in their employer pension plan. These plans are often called registered pension plans (RPP), as they must be registered with Canada Customs and Revenue Agency. Although some RPP members receive estimates of the value of their accrued benefit, in most cases plan members would not know this amount. However, it is likely to be one of the largest assets for many family units. And, as the baby boomers approach retirement, information on their pension accumulations is much needed to better understand their financial readiness for this transition.

    The intent of this paper is to: present, for discussion, a methodology for estimating the present value of employer pension plan benefits for the Survey of Financial Security; and to seek feedback on the proposed methodology. This document proposes a methodology for estimating the value of employer pension plan benefits for the following groups:a) persons who belonged to an RPP at the time of the survey (referred to as current plan members); b) persons who had previously belonged to an RPP and either left the money in the plan or transferred it to a new plan; c) persons who are receiving RPP benefits.

    Release date: 2001-02-07

  • Surveys and statistical programs – Documentation: 62F0026M2000004
    Description:

    The Survey of Household Spending (SHS), which replaced the periodic Family Expenditure Survey (FAMEX) in 1997, is an annual survey that collects detailed expenditure information from households for a given calendar year. Due to the heavy response burden placed on respondents of this survey, it was decided for the 1997 survey to perform a test of incentive effect on response rates. Two incentives were used: a one-year subscription to the Statistics Canada publication Canadian Social Trends and a telephone calling card. The response rate data was analysed using Fisher's exact test and some non-parametric methods. After controlling for a discovered interviewer assignment effect, it was found that there was some evidence of a telephone card effect in the western and eastern most regions of Canada, while there was no evidence of any effect for the magazine. These findings were somewhat corroborated by a separate study testing effects of incentives on respondent relations. All these results will be discussed in this paper.

    Release date: 2000-08-31

  • Surveys and statistical programs – Documentation: 5184

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Reference (21)

Reference (21) (21 of 21 results)

  • Surveys and statistical programs – Documentation: 71-526-X
    Description:

    The Canadian Labour Force Survey (LFS) is the official source of monthly estimates of total employment and unemployment. Following the 2011 census, the LFS underwent a sample redesign to account for the evolution of the population and labour market characteristics, to adjust to changes in the information needs and to update the geographical information used to carry out the survey. The redesign program following the 2011 census culminated with the introduction of a new sample at the beginning of 2015. This report is a reference on the methodological aspects of the LFS, covering stratification, sampling, collection, processing, weighting, estimation, variance estimation and data quality.

    Release date: 2017-12-21

  • Surveys and statistical programs – Documentation: 5190
    Release date: 2013-04-22

  • Surveys and statistical programs – Documentation: 62F0026M2011001
    Description:

    This report describes the quality indicators produced for the 2009 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: 2011-06-16

  • Surveys and statistical programs – Documentation: 62F0026M2010002
    Description:

    This report describes the quality indicators produced for the 2005 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: 2010-04-26

  • Surveys and statistical programs – Documentation: 62F0026M2010003
    Description:

    This report describes the quality indicators produced for the 2006 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: 2010-04-26

  • Surveys and statistical programs – Documentation: 62F0026M2010001
    Description:

    This report describes the quality indicators produced for the 2004 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: 2010-04-26

  • Surveys and statistical programs – Documentation: 62F0026M2009001
    Description:

    This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 1999.)

    This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the various statistics that can be created using expenditure data (e.g., budget share, market share, aggregates and medians)

    Release date: 2008-12-22

  • Surveys and statistical programs – Documentation: 62F0026M2008001
    Description:

    This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 1999.)

    This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the various statistics that can be created using expenditure data (e.g., budget share, market share, aggregates and medians).

    Release date: 2008-02-26

  • Surveys and statistical programs – Documentation: 62F0026M2006001
    Description:

    This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 1999.)

    This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the various statistics that can be created using expenditure data (e.g., budget share, market share, aggregates and medians).

    Release date: 2006-12-12

  • Surveys and statistical programs – Documentation: 71F0031X2006003
    Description:

    This paper introduces and explains modifications made to the Labour Force Survey estimates in January 2006. Some of these modifications include changes to the population estimates, improvements to the public and private sector estimates and historical updates to several small Census Agglomerations (CA).

    Release date: 2006-01-25

  • Surveys and statistical programs – Documentation: 62F0026M2005007
    Description:

    This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 1999.)

    This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the various statistics that can be created using expenditure data (e.g., budget share, market share, aggregates and medians).

    Release date: 2005-12-12

  • Surveys and statistical programs – Documentation: 62F0026M2005006
    Description:

    This report describes the quality indicators produced for the 2003 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: 2005-10-06

  • Surveys and statistical programs – Documentation: 31-533-X
    Description:

    Starting with the August 2004 reference month, the Monthly Survey of Manufacturing (MSM) is using administrative data (Goods and Services Tax files) to derive shipments for a portion of the small establishments in the sample. This document is being published to complement the release of MSM data for that month.

    Release date: 2004-10-15

  • Surveys and statistical programs – Documentation: 62F0026M2004001
    Description:

    This report describes the quality indicators produced for the 2002 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: 2004-09-15

  • Surveys and statistical programs – Documentation: 62F0026M2001004
    Description:

    This guide presents information of interest to users of data from the Survey of Household Spending. Data are collected via personal interview conducted in January, February and March after the reference year using a paper questionnaire. Information is gathered about the spending habits, dwelling characteristics and household equipment of Canadian households during the reference year. The survey covers private households in the ten provinces. (The three territories are surveyed every second year starting in 2001.)

    This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. There is also a section describing the various statistics that can be created using expenditure data (e.g., budget share, market share, and aggregates).

    Release date: 2001-12-12

  • Surveys and statistical programs – Documentation: 13F0026M2001002
    Description:

    The Survey of Financial Security (SFS) will provide information on the net worth of Canadians. In order to do this, information was collected - in May and June 1999 - on the value of the assets and debts of each of the families or unattached individuals in the sample. The value of one particular asset is not easy to determine, or to estimate. That is the present value of the amount people have accrued in their employer pension plan. These plans are often called registered pension plans (RPP), as they must be registered with Canada Customs and Revenue Agency. Although some RPP members receive estimates of the value of their accrued benefit, in most cases plan members would not know this amount. However, it is likely to be one of the largest assets for many family units. And, as the baby boomers approach retirement, information on their pension accumulations is much needed to better understand their financial readiness for this transition.

    The intent of this paper is to: present, for discussion, a methodology for estimating the present value of employer pension plan benefits for the Survey of Financial Security; and to seek feedback on the proposed methodology. This document proposes a methodology for estimating the value of employer pension plan benefits for the following groups:a) persons who belonged to an RPP at the time of the survey (referred to as current plan members); b) persons who had previously belonged to an RPP and either left the money in the plan or transferred it to a new plan; c) persons who are receiving RPP benefits.

    Release date: 2001-02-07

  • Surveys and statistical programs – Documentation: 62F0026M2000004
    Description:

    The Survey of Household Spending (SHS), which replaced the periodic Family Expenditure Survey (FAMEX) in 1997, is an annual survey that collects detailed expenditure information from households for a given calendar year. Due to the heavy response burden placed on respondents of this survey, it was decided for the 1997 survey to perform a test of incentive effect on response rates. Two incentives were used: a one-year subscription to the Statistics Canada publication Canadian Social Trends and a telephone calling card. The response rate data was analysed using Fisher's exact test and some non-parametric methods. After controlling for a discovered interviewer assignment effect, it was found that there was some evidence of a telephone card effect in the western and eastern most regions of Canada, while there was no evidence of any effect for the magazine. These findings were somewhat corroborated by a separate study testing effects of incentives on respondent relations. All these results will be discussed in this paper.

    Release date: 2000-08-31

  • Surveys and statistical programs – Documentation: 5184

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