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Robust joint modelling of Canadian labour force series of small areas: CS11-613/92-2E-PDF
"In this article we report the results of fitting a state-space model to Canadian unemployment rates. The model assumes an additive decomposition of the population values into a trend, seasonal and irregular component and separate autoregressive relationships for the six survey error series corresponding to the six monthly panel estimators. The model includes rotation group effects and permits the design variances of the survey errors to change over time. The model is fitted at the small area level but it accounts for correlations between the component series of different areas. The robustness of estimators obtained under the model is achieved by Imposing the constraint that the monthly aggregate model based estimators in a group of small areas for which the total sample size is sufficiently large coincide with the corresponding direct survey estimators. The performance of the model when fitted to the Atlantic provinces is assessed by a variety of dIagnostic statistics and residual plots and by comparisons with estimators in current use"--Abstract.
|Department/Agency||Statistics Canada. Social Survey Methods Division.|
|Title||Robust joint modelling of Canadian labour force series of small areas|
|Series Title||Working paper ;|
|Publication Type||Series - View Master Record|
|Electronic Document|| |
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|Note||"Working paper no. SSMD 92-002 E." "January 1992." Digitized edition from print [produced by Statistics Canada].|
|Number of Pages||23 p. :|
|Departmental Catalogue Number||11-613E|
|Subject Terms||Surveys, Methodology|
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