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All (5) ((5 results))

  • 1. The hours people work Archived
    Articles and reports: 75-001-X199400311
    Geography: Canada
    Description:

    The "standard" five-day week averaging 37 to 40 hours of work has prevailed since the 1960s. The study explores the evolution of the standard work week from the beginning of this century until now.

    Release date: 1994-09-06
  • 2. Time series EBLUPS for small areas using survey data Archived
    Articles and reports: 12-001-X199400114434
    Description:

    In estimation for small areas it is common to borrow strength from other small areas since the direct survey estimates often have large sampling variability. A class of methods called composite estimation addresses the problem by using a linear combination of direct and synthetic estimators. The synthetic component is based on a model which connects small area means cross-sectionally (over areas) and/or over time. A cross-sectional empirical best linear unbiased predictor (EBLUP) is a composite estimator based on a linear regression model with small area effects. In this paper we consider three models to generalize the cross-sectional EBLUP to use data from more than one time point. In the first model, regression parameters are random and serially dependent but the small area effects are assumed to be independent over time. In the second model, regression parameters are nonrandom and may take common values over time but the small area effects are serially dependent. The third model is more general in that regression parameters and small area effects are assumed to be serially dependent. The resulting estimators, as well as some cross-sectional estimators, are evaluated using bi-annual data from Statistics Canada’s National Farm Survey and January Farm Survey.

    Release date: 1994-06-15
  • 3. Issues and strategies for small area data Archived
    Articles and reports: 12-001-X199400114436
    Description:

    This paper identifies some technical issues in the provision of small area data derived from censuses, administrative records and surveys. Although the issues are of a general nature, they are discussed in the context of programs at Statistics Canada. For survey-based estimates, the need for developing an overall strategy is stressed and salient features of survey design that have an impact on small area data are highlighted in the context of redesigning a household survey. A brief review of estimation methods with their strengths and weaknesses is also presented.

    Release date: 1994-06-15
  • 4. Getting there Archived
    Articles and reports: 75-001-X199400270
    Geography: Canada
    Description:

    This study focuses on the commuting time of Canadian workers and the mode of transportation they use.

    Release date: 1994-06-01
  • 5. Balancing work and family responsibilities Archived
    Articles and reports: 75-001-X199400169
    Geography: Canada
    Description:

    Many couples need to juggle family and employment obligations. How do the work patterns of dual-earner couples differ when they have children?

    Release date: 1994-03-02
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Articles and reports (5)

Articles and reports (5) ((5 results))

  • 1. The hours people work Archived
    Articles and reports: 75-001-X199400311
    Geography: Canada
    Description:

    The "standard" five-day week averaging 37 to 40 hours of work has prevailed since the 1960s. The study explores the evolution of the standard work week from the beginning of this century until now.

    Release date: 1994-09-06
  • 2. Time series EBLUPS for small areas using survey data Archived
    Articles and reports: 12-001-X199400114434
    Description:

    In estimation for small areas it is common to borrow strength from other small areas since the direct survey estimates often have large sampling variability. A class of methods called composite estimation addresses the problem by using a linear combination of direct and synthetic estimators. The synthetic component is based on a model which connects small area means cross-sectionally (over areas) and/or over time. A cross-sectional empirical best linear unbiased predictor (EBLUP) is a composite estimator based on a linear regression model with small area effects. In this paper we consider three models to generalize the cross-sectional EBLUP to use data from more than one time point. In the first model, regression parameters are random and serially dependent but the small area effects are assumed to be independent over time. In the second model, regression parameters are nonrandom and may take common values over time but the small area effects are serially dependent. The third model is more general in that regression parameters and small area effects are assumed to be serially dependent. The resulting estimators, as well as some cross-sectional estimators, are evaluated using bi-annual data from Statistics Canada’s National Farm Survey and January Farm Survey.

    Release date: 1994-06-15
  • 3. Issues and strategies for small area data Archived
    Articles and reports: 12-001-X199400114436
    Description:

    This paper identifies some technical issues in the provision of small area data derived from censuses, administrative records and surveys. Although the issues are of a general nature, they are discussed in the context of programs at Statistics Canada. For survey-based estimates, the need for developing an overall strategy is stressed and salient features of survey design that have an impact on small area data are highlighted in the context of redesigning a household survey. A brief review of estimation methods with their strengths and weaknesses is also presented.

    Release date: 1994-06-15
  • 4. Getting there Archived
    Articles and reports: 75-001-X199400270
    Geography: Canada
    Description:

    This study focuses on the commuting time of Canadian workers and the mode of transportation they use.

    Release date: 1994-06-01
  • 5. Balancing work and family responsibilities Archived
    Articles and reports: 75-001-X199400169
    Geography: Canada
    Description:

    Many couples need to juggle family and employment obligations. How do the work patterns of dual-earner couples differ when they have children?

    Release date: 1994-03-02
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