Semi-parametric Bayesian Analysis of the Proportional Hazard Rate Model An Application to the Effect of Training Programs on Graduate Unemployment

Pilar Olave and Manuel Salvador

Journal of Applied Statistics, 2007, vol. 34, issue 10, 1185-1205

Abstract: In this paper, we introduce a semi-parametric Bayesian methodology based on the proportional hazard model that assumes that the baseline hazard function is constant over segments but, by contrast to what is usually assumed in the literature, with the periods at which the function changes not being specified in advance. The methodology is applied to explore the impact of Vocational Training courses offered by the University of Zaragoza (Spain) on the duration of the initial periods of unemployment experienced by graduate leavers. The framework is very flexible and allows us, in particular, to capture the presence of seasonality in the job insertion of graduates.

Keywords: Bayesian survival analysis; semi-parametric models; proportional hazard; training programs; labor market (search for similar items in EconPapers)
Date: 2007
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DOI: 10.1080/02664760701592752

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