Time Aggregation and the Distributional Shape of Unemployment Duration
AbstractThis paper reports empirical evidence on the sensitivity of unemployment duration regression estimates to distributional assumptions and to time aggregation. The results indicate that parameter estimates are robust to distributional assumptions, while estimates of duration dependence are not. Time aggregation does not seem to have drastic effects on the estimates in a simple parametric model like the Weibull, but can produce dramatic changes in the more complicated extended generalized gamma model. Semiparametric models for grouped data produce stable estimates, and perform much better than continuous-time models in terms of significance at high levels of time aggregation. Copyright 1992 by John Wiley & Sons, Ltd.
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Bibliographic InfoArticle provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.
Volume (Year): 7 (1992)
Issue (Month): 1 (Jan.-March)
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Web page: http://www.interscience.wiley.com/jpages/0883-7252/
Other versions of this item:
- Edin, P.A. & Bergstrom, R., 1991. "Time aggregation and the Distributional Shape of Unemployment Duration," Papers 1991u, Uppsala - Working Paper Series.
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