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  • 1. Variance estimation in dual registration under population heterogeneity Archived
    Articles and reports: 12-001-X199100214508
    Description:

    The usual dual system estimator for population size can be severely biased, if there is population heterogeneity in the capture probabilities. In this note we investigate the bias of the corresponding variance estimator under heterogeneity. We show that the usual estimator is conservative, i.e., it gives too large values, if the two registration systems are negatively correlated, uncorrelated, or when the correlation is positive, but small. In the case of high positive correlation the usual estimator may yield too low values. Two alternative estimators are proposed. One is conservative under arbitrary heterogeneity. The other is conservative under Gaussian heterogeneity. The methods are applied to occupational disease data from Finland.

    Release date: 1991-12-16
  • 2. Apprentices: Graduate and drop-out labour market performances Archived
    Articles and reports: 75-001-X199100126
    Geography: Canada
    Description:

    Apprenticeship programs in Canada are characterized by high drop-out rates, a shocking statistics in light of the need for a skilled work force. Using the recent National Apprenticeship Survey, the author examines both graduates and drop-outs from provincial apprenticeship programs by occupation, wages and regions.

    Release date: 1991-03-05
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Articles and reports (2)

Articles and reports (2) ((2 results))

  • 1. Variance estimation in dual registration under population heterogeneity Archived
    Articles and reports: 12-001-X199100214508
    Description:

    The usual dual system estimator for population size can be severely biased, if there is population heterogeneity in the capture probabilities. In this note we investigate the bias of the corresponding variance estimator under heterogeneity. We show that the usual estimator is conservative, i.e., it gives too large values, if the two registration systems are negatively correlated, uncorrelated, or when the correlation is positive, but small. In the case of high positive correlation the usual estimator may yield too low values. Two alternative estimators are proposed. One is conservative under arbitrary heterogeneity. The other is conservative under Gaussian heterogeneity. The methods are applied to occupational disease data from Finland.

    Release date: 1991-12-16
  • 2. Apprentices: Graduate and drop-out labour market performances Archived
    Articles and reports: 75-001-X199100126
    Geography: Canada
    Description:

    Apprenticeship programs in Canada are characterized by high drop-out rates, a shocking statistics in light of the need for a skilled work force. Using the recent National Apprenticeship Survey, the author examines both graduates and drop-outs from provincial apprenticeship programs by occupation, wages and regions.

    Release date: 1991-03-05
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