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All (3) ((3 results))

  • 1. Measuring Employment and Unemployment in Canada and the United States – A comparison Archived
    Articles and reports: 75-005-M2015002
    Description:

    This report provides information to users who wish to compare employment and unemployment estimates from the Canadian surveys (LFS and SEPH) and American surveys (CPS and CES). The aspects covered include concepts, methods, seasonal adjustment, timeliness, revisions and main uses.

    Release date: 2015-10-09
  • 2. Measuring temporary employment. Do survey or register data tell the truth? Archived
    Articles and reports: 12-001-X201500114151
    Description:

    One of the main variables in the Dutch Labour Force Survey is the variable measuring whether a respondent has a permanent or a temporary job. The aim of our study is to determine the measurement error in this variable by matching the information obtained by the longitudinal part of this survey with unique register data from the Dutch Institute for Employee Insurance. Contrary to previous approaches confronting such datasets, we take into account that also register data are not error-free and that measurement error in these data is likely to be correlated over time. More specifically, we propose the estimation of the measurement error in these two sources using an extended hidden Markov model with two observed indicators for the type of contract. Our results indicate that none of the two sources should be considered as error-free. For both indicators, we find that workers in temporary contracts are often misclassified as having a permanent contract. Particularly for the register data, we find that measurement errors are strongly autocorrelated, as, if made, they tend to repeat themselves. In contrast, when the register is correct, the probability of an error at the next time period is almost zero. Finally, we find that temporary contracts are more widespread than the Labour Force Survey suggests, while transition rates between temporary to permanent contracts are much less common than both datasets suggest.

    Release date: 2015-06-29
  • 3. The 2015 Revisions of the Labour Force Survey (LFS) Archived
    Surveys and statistical programs – Documentation: 71F0031X2015001
    Geography: Canada
    Description:

    This paper introduces and explains modifications made to the Labour Force Survey estimates in January 2015. Some of these modifications include the adjustment of all LFS estimates to reflect population counts based on the 2011 Census and includes updates to 2011 Geography classification system.

    Release date: 2015-01-28
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  • 1. Measuring Employment and Unemployment in Canada and the United States – A comparison Archived
    Articles and reports: 75-005-M2015002
    Description:

    This report provides information to users who wish to compare employment and unemployment estimates from the Canadian surveys (LFS and SEPH) and American surveys (CPS and CES). The aspects covered include concepts, methods, seasonal adjustment, timeliness, revisions and main uses.

    Release date: 2015-10-09
  • 2. Measuring temporary employment. Do survey or register data tell the truth? Archived
    Articles and reports: 12-001-X201500114151
    Description:

    One of the main variables in the Dutch Labour Force Survey is the variable measuring whether a respondent has a permanent or a temporary job. The aim of our study is to determine the measurement error in this variable by matching the information obtained by the longitudinal part of this survey with unique register data from the Dutch Institute for Employee Insurance. Contrary to previous approaches confronting such datasets, we take into account that also register data are not error-free and that measurement error in these data is likely to be correlated over time. More specifically, we propose the estimation of the measurement error in these two sources using an extended hidden Markov model with two observed indicators for the type of contract. Our results indicate that none of the two sources should be considered as error-free. For both indicators, we find that workers in temporary contracts are often misclassified as having a permanent contract. Particularly for the register data, we find that measurement errors are strongly autocorrelated, as, if made, they tend to repeat themselves. In contrast, when the register is correct, the probability of an error at the next time period is almost zero. Finally, we find that temporary contracts are more widespread than the Labour Force Survey suggests, while transition rates between temporary to permanent contracts are much less common than both datasets suggest.

    Release date: 2015-06-29
Reference (1)

Reference (1) ((1 result))

  • 1. The 2015 Revisions of the Labour Force Survey (LFS) Archived
    Surveys and statistical programs – Documentation: 71F0031X2015001
    Geography: Canada
    Description:

    This paper introduces and explains modifications made to the Labour Force Survey estimates in January 2015. Some of these modifications include the adjustment of all LFS estimates to reflect population counts based on the 2011 Census and includes updates to 2011 Geography classification system.

    Release date: 2015-01-28
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