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Estimating Labour Market Transitions and Continuations using Repeated Cross Sectional Data

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Author Info
Pierre Brochu () (Department of Economics, University of Ottawa)

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Abstract

This paper proposes a new approach for estimating transition (or continuation) probabilities using repeated cross sectional data. A cross sectional method is necessary when good panel data are not available. The proposed approach is uniquely designed for repeated cross-sectional analysis, and as a result, the identifying assumptions are relatively mild and easy to interpret. Canadian Labour Force data and U.S. Current Population Survey data are used to compare proposed and existing approaches. I find that the choice of method can make a difference at the inference stage.

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File URL: http://www.socialsciences.uottawa.ca/eco/pdf/cahiers/0703E.pdf
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Publisher Info
Paper provided by University of Ottawa, Department of Economics in its series Working Papers with number 0703E.

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Length: 28 pages
Date of creation: 2007
Date of revision:
Handle: RePEc:ott:wpaper:0703e

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Related research
Keywords: Repeated cross section data; Duration analysis; Employment;

Find related papers by JEL classification:
C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis
J64 - Labor and Demographic Economics - - Mobility, Unemployment, and Vacancies - - - Unemployment: Models, Duration, Incidence, and Job Search

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This page was last updated on 2009-11-25.


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