The (mis)specification of discrete duration models with unobserved heterogeneity: A Monte Carlo study
AbstractEmpirical researchers usually prefer statistical models that can be easily estimated with the help of commonly available software packages. Sequential binary models with or without normal random effects are an example of such models that can be adopted to estimate discrete duration models with unobserved heterogeneity. But an easy-to-implement estimation may incur a cost. In this paper we conduct a Monte Carlo simulation to evaluate the consequences of omitting or misspecifying the unobserved heterogeneity distribution in single-spell discrete duration models.
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Econometrics.
Volume (Year): 159 (2010)
Issue (Month): 1 (November)
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Other versions of this item:
- Concetta Rondinelli & Cheti Nicoletti, 2009. "The (mis)specification of discrete duration models with unobserved heterogeneity: a Monte Carlo study," Temi di discussione (Economic working papers) 705, Bank of Italy, Economic Research and International Relations Area.
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
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