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All (9) ((9 results))

  • 1. Regression composite estimation for the Canadian Labour Force Survey with a rotating panel design Archived
    Articles and reports: 12-001-X20010015852
    Description:

    We consider the regression composite estimation introduced by Singh (1994, 1996; termed earlier as "modified regression composite" estimation), a version of which (suggested by Fuller 1999) has been implemented for the Canadian Labour Force Survey (CLFS) beginning in January 2000. The regression composite (rc) estimator enhances the generalized regression (gr) estimator used earlier for the CLFS and the well known Gurney-Daly ak-composite estimator in several ways.

    Release date: 2001-08-22
  • 2. Regression composite estimation for the Canadian Labour Force Survey: Evaluation and implementation Archived
    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
  • 3. A multivariate technique for multiply imputing missing values using a sequence of regression models Archived
    Articles and reports: 12-001-X20010015857
    Description:

    This article describes and evaluates a procedure for imputing missing values for a relatively complex data structure when the data are missing at random. The imputations are obtained by fitting a sequence of regression models and drawing values from the corresponding predictive distributions. The types of regression models used are linear, logistic, Poisson, generalized logit or a mixture of these depending on the type of variable being imputed. Two additional common features in the imputation process are incorporated: restriction to a relevant subpopulation for some variables and logical bounds or constraints for the imputed values. The restrictions involve subsetting the sample individuals that satisfy certain criteria while fitting the regression models. The bounds involve drawing values from a truncated predictive distribution. The development of this method was partly motivated by the analysis of two data sets which are used as illustrations. The sequential regression procedure is applied to perform multiple imputation analysis for the two applied problems. The sampling properties of inferences from multiply imputed data sets created using the sequential regression method are evaluated through simulated data sets.

    Release date: 2001-08-22
  • 4. A better understanding of weight transformation through a measure of change Archived
    Articles and reports: 12-001-X20010015858
    Description:

    The objective of this paper is to study and measure the change (from the initial to the final weight) which results from the procedure used to modify weights. A breakdown of the final weights is proposed in order to evaluate the relative impact of the nonresponse adjustment, the correction for poststratification and the interaction between these two adjustments. This measure of change is used as a tool for comparing the effectiveness of the various methods for adjusting for nonresponse, in particular the methods relying on the formation of Response Homogeneity Groups. The measure of change is examined through a simulation study, which uses data from a Statistics Canada longitudinal survey, the Survey of Labour and Income Dynamics. The measure of change is also applied to data obtained from a second longitudinal survey, the National Longitudinal Survey of Children and Youth.

    Release date: 2001-08-22
  • 5. In this issue (Vol. 27, no. 1) Archived
    Articles and reports: 12-001-X20010019618
    Description:

    In this Issue is a column where the Editor biefly presents each paper of the current issue of Survey Methodology. As well, it sometimes contain informations on structure or management changes in the journal.

    Release date: 2001-08-22
  • 6. In this issue (Vol. 26, no. 2) Archived
    Articles and reports: 12-001-X200000210502
    Description:

    In this Issue is a column where the Editor biefly presents each paper of the current issue of Survey Methodology. As well, it sometimes contain informations on structure or management changes in the journal.

    Release date: 2001-02-28
  • 7. An approximate design effect for unequal weighting when measurements may correlate with selection probabilities Archived
    Articles and reports: 12-001-X20000025533
    Description:

    It is common practice to estimate the design effect due to weighting by 1 plus the relative variance of the weights in the sample. This formula has been justified when the selection probabilities are uncorrelated with the variable of interest. An approximation to the design effect is provided to accommodate the situation in which correlation is present.

    Release date: 2001-02-28
  • 8. Estimation and replicate variance estimation of median sales prices of sold houses Archived
    Articles and reports: 12-001-X20000025535
    Description:

    The U.S. Census Bureau publishes estimates of medians for several characteristics of new houses, with a key estimate being sales price of sold houses. These estimates are calculated from data acquired from interviews of home builders by the Survey of Construction (SOC). The SOC is a multi-stage probability survey whose sample design is well suited to the modified half-sample replication (MHS) method of variance estimation.

    Release date: 2001-02-28
  • 9. The impact of different rotation patterns on the sampling variance of seasonally adjusted and trend estimates Archived
    Articles and reports: 12-001-X20000025536
    Description:

    Many economic and social time series are based on sample surveys which have complex sample designs. The sample design affects the properties of the time series. In particular, the overlap of the sample from period to period affects the variability of the time series of survey estimates and the seasonally adjusted and trend estimates produced from them.

    Release date: 2001-02-28
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Articles and reports (9)

Articles and reports (9) ((9 results))

  • 1. Regression composite estimation for the Canadian Labour Force Survey with a rotating panel design Archived
    Articles and reports: 12-001-X20010015852
    Description:

    We consider the regression composite estimation introduced by Singh (1994, 1996; termed earlier as "modified regression composite" estimation), a version of which (suggested by Fuller 1999) has been implemented for the Canadian Labour Force Survey (CLFS) beginning in January 2000. The regression composite (rc) estimator enhances the generalized regression (gr) estimator used earlier for the CLFS and the well known Gurney-Daly ak-composite estimator in several ways.

    Release date: 2001-08-22
  • 2. Regression composite estimation for the Canadian Labour Force Survey: Evaluation and implementation Archived
    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
  • 3. A multivariate technique for multiply imputing missing values using a sequence of regression models Archived
    Articles and reports: 12-001-X20010015857
    Description:

    This article describes and evaluates a procedure for imputing missing values for a relatively complex data structure when the data are missing at random. The imputations are obtained by fitting a sequence of regression models and drawing values from the corresponding predictive distributions. The types of regression models used are linear, logistic, Poisson, generalized logit or a mixture of these depending on the type of variable being imputed. Two additional common features in the imputation process are incorporated: restriction to a relevant subpopulation for some variables and logical bounds or constraints for the imputed values. The restrictions involve subsetting the sample individuals that satisfy certain criteria while fitting the regression models. The bounds involve drawing values from a truncated predictive distribution. The development of this method was partly motivated by the analysis of two data sets which are used as illustrations. The sequential regression procedure is applied to perform multiple imputation analysis for the two applied problems. The sampling properties of inferences from multiply imputed data sets created using the sequential regression method are evaluated through simulated data sets.

    Release date: 2001-08-22
  • 4. A better understanding of weight transformation through a measure of change Archived
    Articles and reports: 12-001-X20010015858
    Description:

    The objective of this paper is to study and measure the change (from the initial to the final weight) which results from the procedure used to modify weights. A breakdown of the final weights is proposed in order to evaluate the relative impact of the nonresponse adjustment, the correction for poststratification and the interaction between these two adjustments. This measure of change is used as a tool for comparing the effectiveness of the various methods for adjusting for nonresponse, in particular the methods relying on the formation of Response Homogeneity Groups. The measure of change is examined through a simulation study, which uses data from a Statistics Canada longitudinal survey, the Survey of Labour and Income Dynamics. The measure of change is also applied to data obtained from a second longitudinal survey, the National Longitudinal Survey of Children and Youth.

    Release date: 2001-08-22
  • 5. In this issue (Vol. 27, no. 1) Archived
    Articles and reports: 12-001-X20010019618
    Description:

    In this Issue is a column where the Editor biefly presents each paper of the current issue of Survey Methodology. As well, it sometimes contain informations on structure or management changes in the journal.

    Release date: 2001-08-22
  • 6. In this issue (Vol. 26, no. 2) Archived
    Articles and reports: 12-001-X200000210502
    Description:

    In this Issue is a column where the Editor biefly presents each paper of the current issue of Survey Methodology. As well, it sometimes contain informations on structure or management changes in the journal.

    Release date: 2001-02-28
  • 7. An approximate design effect for unequal weighting when measurements may correlate with selection probabilities Archived
    Articles and reports: 12-001-X20000025533
    Description:

    It is common practice to estimate the design effect due to weighting by 1 plus the relative variance of the weights in the sample. This formula has been justified when the selection probabilities are uncorrelated with the variable of interest. An approximation to the design effect is provided to accommodate the situation in which correlation is present.

    Release date: 2001-02-28
  • 8. Estimation and replicate variance estimation of median sales prices of sold houses Archived
    Articles and reports: 12-001-X20000025535
    Description:

    The U.S. Census Bureau publishes estimates of medians for several characteristics of new houses, with a key estimate being sales price of sold houses. These estimates are calculated from data acquired from interviews of home builders by the Survey of Construction (SOC). The SOC is a multi-stage probability survey whose sample design is well suited to the modified half-sample replication (MHS) method of variance estimation.

    Release date: 2001-02-28
  • 9. The impact of different rotation patterns on the sampling variance of seasonally adjusted and trend estimates Archived
    Articles and reports: 12-001-X20000025536
    Description:

    Many economic and social time series are based on sample surveys which have complex sample designs. The sample design affects the properties of the time series. In particular, the overlap of the sample from period to period affects the variability of the time series of survey estimates and the seasonally adjusted and trend estimates produced from them.

    Release date: 2001-02-28
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