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All (3) ((3 results))

  • 1. Relative Wage Patterns Among the Highly Educated in a Knowledge-based Economy Archived
    Articles and reports: 11F0019M2004232
    Geography: Canada
    Description:

    This study extends previous work on the evolution of the education premium, and investigates the existence of diverging university/high school earnings ratio trends across industries in the knowledge-based economy. The study also discusses the changing demand for high-skilled workers by comparing relative wages of university graduates holding degrees in "applied" fields to those of other university graduates (the "field" premium).

    Release date: 2004-09-29
  • 2. Properties of the weighting cell estimator under a nonparametric response mechanism Archived
    Articles and reports: 12-001-X20040016993
    Description:

    The weighting cell estimator corrects for unit nonresponse by dividing the sample into homogeneous groups (cells) and applying a ratio correction to the respondents within each cell. Previous studies of the statistical properties of weighting cell estimators have assumed that these cells correspond to known population cells with homogeneous characteristics. In this article, we study the properties of the weighting cell estimator under a response probability model that does not require correct specification of homogeneous population cells. Instead, we assume that the response probabilities are a smooth but otherwise unspecified function of a known auxiliary variable. Under this more general model, we study the robustness of the weighting cell estimator against model misspecification. We show that, even when the population cells are unknown, the estimator is consistent with respect to the sampling design and the response model. We describe the effect of the number of weighting cells on the asymptotic properties of the estimator. Simulation experiments explore the finite sample properties of the estimator. We conclude with some guidance on how to select the size and number of cells for practical implementation of weighting cell estimation when those cells cannot be specified a priori.

    Release date: 2004-07-14
  • 3. Measuring Employment in the Environment Industry Archived
    Articles and reports: 16-001-M2004001
    Description:

    The collection of firms producing environmental goods and delivering environmental services constitutes the 'environment industry.' This industry has grown significantly in the past 20 years and stands to continue this development in the future as emerging issues such as the level of greenhouse gas emissions are addressed.

    An important aspect in the evaluation of the industry's performance is in the area of job creation and employment generation. Related to the challenges involved in classifying firms to the environment industry is the issue of identifying the employees who work in environment-related activities. Currently, the published data on employment include only the total employment of those businesses producing environmental goods and services, i.e., employees who worked in the production/provision of goods and services that have both environmental and non-environmental applications.

    Release date: 2004-04-06
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Articles and reports (3)

Articles and reports (3) ((3 results))

  • 1. Relative Wage Patterns Among the Highly Educated in a Knowledge-based Economy Archived
    Articles and reports: 11F0019M2004232
    Geography: Canada
    Description:

    This study extends previous work on the evolution of the education premium, and investigates the existence of diverging university/high school earnings ratio trends across industries in the knowledge-based economy. The study also discusses the changing demand for high-skilled workers by comparing relative wages of university graduates holding degrees in "applied" fields to those of other university graduates (the "field" premium).

    Release date: 2004-09-29
  • 2. Properties of the weighting cell estimator under a nonparametric response mechanism Archived
    Articles and reports: 12-001-X20040016993
    Description:

    The weighting cell estimator corrects for unit nonresponse by dividing the sample into homogeneous groups (cells) and applying a ratio correction to the respondents within each cell. Previous studies of the statistical properties of weighting cell estimators have assumed that these cells correspond to known population cells with homogeneous characteristics. In this article, we study the properties of the weighting cell estimator under a response probability model that does not require correct specification of homogeneous population cells. Instead, we assume that the response probabilities are a smooth but otherwise unspecified function of a known auxiliary variable. Under this more general model, we study the robustness of the weighting cell estimator against model misspecification. We show that, even when the population cells are unknown, the estimator is consistent with respect to the sampling design and the response model. We describe the effect of the number of weighting cells on the asymptotic properties of the estimator. Simulation experiments explore the finite sample properties of the estimator. We conclude with some guidance on how to select the size and number of cells for practical implementation of weighting cell estimation when those cells cannot be specified a priori.

    Release date: 2004-07-14
  • 3. Measuring Employment in the Environment Industry Archived
    Articles and reports: 16-001-M2004001
    Description:

    The collection of firms producing environmental goods and delivering environmental services constitutes the 'environment industry.' This industry has grown significantly in the past 20 years and stands to continue this development in the future as emerging issues such as the level of greenhouse gas emissions are addressed.

    An important aspect in the evaluation of the industry's performance is in the area of job creation and employment generation. Related to the challenges involved in classifying firms to the environment industry is the issue of identifying the employees who work in environment-related activities. Currently, the published data on employment include only the total employment of those businesses producing environmental goods and services, i.e., employees who worked in the production/provision of goods and services that have both environmental and non-environmental applications.

    Release date: 2004-04-06
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