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  • Articles and reports: 71-584-M2001001
    Geography: Canada
    Description:

    This report examines the results of the 1999 round of the Workplace and Employee Survey on the role that human resource practices play in facilitating workplace change. It focusses on practices such as workplace training, variable pay and employee involvement (job rotation, cross-training and teamwork), their association with change and whom they impact.

    Release date: 2001-09-06

  • Articles and reports: 12-001-X20010015855
    Description:

    The Canadian Labour Force Survey (LFS) is a monthly survey with a complex rotating panel design. After extensive studies, including the investigation of a number of alternative methods for exploiting the sample overlap to improve the quality of estimates, the LFS has chosen a composite estimation method which achieves this goal while satisfying practical constraints. In addition, for variables where there is a substantial gain in efficiency, the new time series tend to make more sense from a subject-matter perspective. This makes it easier to explain LFS estimates to users and the media. Because of the reduced variance under composite estimation, for some variables it is now possible to publish monthly estimates where only three-month moving averages were published in the past. In addition, a greater number of series can be successfully seasonally adjusted.

    Release date: 2001-08-22
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  • Articles and reports: 71-584-M2001001
    Geography: Canada
    Description:

    This report examines the results of the 1999 round of the Workplace and Employee Survey on the role that human resource practices play in facilitating workplace change. It focusses on practices such as workplace training, variable pay and employee involvement (job rotation, cross-training and teamwork), their association with change and whom they impact.

    Release date: 2001-09-06

  • Articles and reports: 12-001-X20010015855
    Description:

    The Canadian Labour Force Survey (LFS) is a monthly survey with a complex rotating panel design. After extensive studies, including the investigation of a number of alternative methods for exploiting the sample overlap to improve the quality of estimates, the LFS has chosen a composite estimation method which achieves this goal while satisfying practical constraints. In addition, for variables where there is a substantial gain in efficiency, the new time series tend to make more sense from a subject-matter perspective. This makes it easier to explain LFS estimates to users and the media. Because of the reduced variance under composite estimation, for some variables it is now possible to publish monthly estimates where only three-month moving averages were published in the past. In addition, a greater number of series can be successfully seasonally adjusted.

    Release date: 2001-08-22
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