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All (4) ((4 results))

  • 1. Bias corrections for survey estimates from data with ratio imputed values for confounded nonresponse Archived
    Articles and reports: 12-001-X199400214423
    Description:

    Most surveys suffer from the problem of missing data caused by nonresponse. To deal with this problem, imputation is often used to create a “completed data set”, that is, a data set composed of actual observations (for the respondents) and imputations (for the nonrespondents). Usually, imputation is carried out under the assumption of unconfounded response mechanism. When this assumption does not hold, a bias is introduced in the standard estimator of the population mean calculated from the completed data set. In this paper, we pursue the idea of using simple correction factors for the bias problem in the case that ratio imputation is used. The effectiveness of the correction factors is studied by Monte Carlo simulation using artificially generated data sets representing various super-populations, nonresponse rates, nonresponse mechanisms, and correlations between the variable of interest and the auxiliary variable. These correction factors are found to be effective especially when the population follows the model underlying ratio imputation. An option for estimating the variance of the corrected point estimates is also discussed.

    Release date: 1994-12-15
  • 2. Voluntary part-time workers Archived
    Articles and reports: 75-001-X199400364
    Geography: Canada
    Description:

    A growing number of workers are employed part-time. For a large number of them, this option fits their responsibilities and lifestyles. This study looks at the situation of those workers who prefer to work less than 30 hours a week.

    Release date: 1994-09-06
  • 3. The Tourism Satellite Account Archived
    Stats in brief: 13-604-M1994031
    Description:

    There has been growing interest in recent years about the scope of tourism in Canada. In response to this demand for information, Statistics Canada has developed a Tourism Satellite Account (TSA) which provides some answers to questions such as: Which industries constitute 'the tourism industry'? What are the industry's gross domestic product (GDP) and employment rates? And what is the extent of tourism-related expenditures?

    This article reports on the research that Statistics Canada has undertaken as part of an ongoing examination of the tourism industry.

    Release date: 1994-08-31
  • 4. Regression weighting in the presence of nonresponse with application to the 1987-1988 Nationwide Food Consumption Survey Archived
    Articles and reports: 12-001-X199400114429
    Description:

    A regression weight generation procedure is applied to the 1987-1988 Nationwide Food Consumption Survey of the U.S. Department of Agriculture. Regression estimation was used because of the large nonresponse in the survey. The regression weights are generalized least squares weights modified so that all weights are positive and so that large weights are smaller than the least squares weights. It is demonstrated that the regression estimator has the potential for large reductions in mean square error relative to the simple direct estimator in the presence of nonresponse.

    Release date: 1994-06-15
Stats in brief (1)

Stats in brief (1) ((1 result))

  • 1. The Tourism Satellite Account Archived
    Stats in brief: 13-604-M1994031
    Description:

    There has been growing interest in recent years about the scope of tourism in Canada. In response to this demand for information, Statistics Canada has developed a Tourism Satellite Account (TSA) which provides some answers to questions such as: Which industries constitute 'the tourism industry'? What are the industry's gross domestic product (GDP) and employment rates? And what is the extent of tourism-related expenditures?

    This article reports on the research that Statistics Canada has undertaken as part of an ongoing examination of the tourism industry.

    Release date: 1994-08-31
Articles and reports (3)

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

  • 1. Bias corrections for survey estimates from data with ratio imputed values for confounded nonresponse Archived
    Articles and reports: 12-001-X199400214423
    Description:

    Most surveys suffer from the problem of missing data caused by nonresponse. To deal with this problem, imputation is often used to create a “completed data set”, that is, a data set composed of actual observations (for the respondents) and imputations (for the nonrespondents). Usually, imputation is carried out under the assumption of unconfounded response mechanism. When this assumption does not hold, a bias is introduced in the standard estimator of the population mean calculated from the completed data set. In this paper, we pursue the idea of using simple correction factors for the bias problem in the case that ratio imputation is used. The effectiveness of the correction factors is studied by Monte Carlo simulation using artificially generated data sets representing various super-populations, nonresponse rates, nonresponse mechanisms, and correlations between the variable of interest and the auxiliary variable. These correction factors are found to be effective especially when the population follows the model underlying ratio imputation. An option for estimating the variance of the corrected point estimates is also discussed.

    Release date: 1994-12-15
  • 2. Voluntary part-time workers Archived
    Articles and reports: 75-001-X199400364
    Geography: Canada
    Description:

    A growing number of workers are employed part-time. For a large number of them, this option fits their responsibilities and lifestyles. This study looks at the situation of those workers who prefer to work less than 30 hours a week.

    Release date: 1994-09-06
  • 3. Regression weighting in the presence of nonresponse with application to the 1987-1988 Nationwide Food Consumption Survey Archived
    Articles and reports: 12-001-X199400114429
    Description:

    A regression weight generation procedure is applied to the 1987-1988 Nationwide Food Consumption Survey of the U.S. Department of Agriculture. Regression estimation was used because of the large nonresponse in the survey. The regression weights are generalized least squares weights modified so that all weights are positive and so that large weights are smaller than the least squares weights. It is demonstrated that the regression estimator has the potential for large reductions in mean square error relative to the simple direct estimator in the presence of nonresponse.

    Release date: 1994-06-15
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