Unobserved Heterogeneity in Multi-Spell Discrete Time Duration Models
This paper considers the estimation of discrete time duration models. We highlight the enhance identification opportunities embedded in multiple spell data to separately identify the effect of duration dependence and individual time invariant unobserved heterogeneity. We consider two types of models: (i) random effects models specifying a mass point distribution for the unobserved heterogeneity; and (ii) fixed effects models in which the distribution of the effects is left unrestricted. The availability of multiple spell data allows us to consider this type of models, in the spirit of fixed effects discrete choice panel data models. We study the finite sample properties of different estimators for previous models by means of Monte Carlo simulations. Finally, as an empirical illustration, we estimate unemployment duration models using Spanish administrative data with information on the entire labor history of the individuals.
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- Anders Frederiksen & Bo E. Honoré & Luojia Hu, 2006.
"Discrete Time Duration Models with Group-level Heterogeneity,"
05-008, Stanford Institute for Economic Policy Research.
- Frederiksen, Anders & Honore, Bo E. & Hu, Luojia, 2007. "Discrete time duration models with group-level heterogeneity," Journal of Econometrics, Elsevier, vol. 141(2), pages 1014-1043, December.
- Jaap H. Abbring & Gerard J. Van Den Berg, 2007.
"The unobserved heterogeneity distribution in duration analysis,"
Biometrika Trust, vol. 94(1), pages 87-99.
- Abbring, Jaap H & van den Berg, Gerard J, 2007. "The Unobserved Heterogeneity Distribution in Duration Analysis," CEPR Discussion Papers 6219, C.E.P.R. Discussion Papers.
- Gaure, Simen & Roed, Knut & Zhang, Tao, 2007.
"Time and causality: A Monte Carlo assessment of the timing-of-events approach,"
Journal of Econometrics,
Elsevier, vol. 141(2), pages 1159-1195, December.
- Gaure, Simen & Røed, Knut & Zhang, Tao, 2005. "Time and Causality: A Monte Carlo Assessment of the Timing-of-Events Approach," Memorandum 19/2005, Oslo University, Department of Economics.
- Olympia Bover & Manuel Arellano & Samuel Bentolila, 2002.
"Unemployment Duration, Benefit Duration and the Business Cycle,"
Royal Economic Society, vol. 112(479), pages 223-265, April.
- Bover, O. & Arellano, M. & Bentolila, S., 1997. "Unemployment Duration, Benefit Duration, and the Business Cycle," Papers 9717, Centro de Estudios Monetarios Y Financieros-.
- Arellano, Manuel & Bentolila, Samuel & Bover, Olympia, 1998. "Unemployment Duration, Benefit Duration and the Business Cycle," CEPR Discussion Papers 1840, C.E.P.R. Discussion Papers.
- Jaap H. Abbring & Gerard J. van den Berg, 2003. "The Nonparametric Identification of Treatment Effects in Duration Models," Econometrica, Econometric Society, vol. 71(5), pages 1491-1517, 09.
- Kalwij, Adriaan, 2001. "Individuals' Unemployment Experiences: Heterogeneity and Business Cycle Effects," IZA Discussion Papers 370, Institute for the Study of Labor (IZA).
- Knut R¯ed & Oddbj¯rn Raaum, 2003. "Administrative registers - Unexplored reservoirs of Scientific Knowledge?," Economic Journal, Royal Economic Society, vol. 113(488), pages F258-F281, 06.
- Ridder, G. & Tunali, I., 1997.
"Stratified Partial Likelihood Estimation,"
1997/17, Koc University.
- Jenkins, Stephen P, 1995. "Easy Estimation Methods for Discrete-Time Duration Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 57(1), pages 129-38, February.
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