Estimating labour market transitions and continuations using repeated cross sectional data
AbstractThis paper proposes a population cohort approach for estimating labour market continuations (or transitions) using repeated cross sectional data. This approach allows for the construction of consistent standard errors that account for the full variability of cross sectional data.
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Bibliographic InfoArticle provided by Elsevier in its journal Economics Letters.
Volume (Year): 111 (2011)
Issue (Month): 1 (April)
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Web page: http://www.elsevier.com/locate/ecolet
Repeated cross-section data Duration analysis Employment Job stability;
Other versions of this item:
- Pierre Brochu, 2007. "Estimating Labour Market Transitions and Continuations using Repeated Cross Sectional Data," Working Papers 0703E, University of Ottawa, Department of Economics.
- C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
- J64 - Labor and Demographic Economics - - Mobility, Unemployment, and Vacancies - - - Unemployment: Models, Duration, Incidence, and Job Search
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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- Kenneth A. Swinnerton & Howard Wial, 1995. "Is job stability declining in the U.S. economy?," Industrial and Labor Relations Review, ILR Review, Cornell University, ILR School, vol. 48(2), pages 293-304, January.
- Neumark, David & Polsky, Daniel & Hansen, Daniel, 1999.
"Has Job Stability Declined Yet? New Evidence for the 1990s,"
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University of Chicago Press, vol. 17(4), pages S29-64, October.
- David Neumark & Daniel Polsky & Daniel Hansen, 1997. "Has Job Stability Declined Yet? New Evidence for the 1990's," NBER Working Papers 6330, National Bureau of Economic Research, Inc.
- Baker, Michael, 1992. "Unemployment Duration: Compositional Effects and Cyclical Variability," American Economic Review, American Economic Association, vol. 82(1), pages 313-21, March.
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