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

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  • Pilar Olave
  • Manuel Salvador

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.

Suggested Citation

  • Pilar Olave & Manuel Salvador, 2007. "Semi-parametric Bayesian Analysis of the Proportional Hazard Rate Model An Application to the Effect of Training Programs on Graduate Unemployment," Journal of Applied Statistics, Taylor & Francis Journals, vol. 34(10), pages 1185-1205.
    • Handle: RePEc:taf:japsta:v:34:y:2007:i:10:p:1185-1205
    DOI: 10.1080/02664760701592752
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    References listed on IDEAS

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    1. Semeijn, Judith & Boone, Christophe & van der Velden, Rolf & van Witteloostuijn, Arjen, 2005. "Graduates' personality characteristics and labor market entry an empirical study among dutch economics graduates," Economics of Education Review, Elsevier, vol. 24(1), pages 67-83, February.
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