Estimating Labour Market Transitions and Continuations using Repeated Cross Sectional Data
AbstractThis 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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Bibliographic InfoPaper provided by University of Ottawa, Department of Economics in its series Working Papers with number 0703E.
Length: 28 pages
Date of creation: 2007
Date of revision:
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More information through EDIRC
Repeated cross section data; Duration analysis; Employment;
Other versions of this item:
- Brochu, Pierre, 2011. "Estimating labour market transitions and continuations using repeated cross sectional data," Economics Letters, Elsevier, vol. 111(1), pages 84-87, April.
- C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
- J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
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