Bayesian estimation of Cox model with non-nested random effects: an application to the ratification of ILO conventions by developing countries

Guillaume Horney, Bernhard Boockmann (), Dragana Djurdjevic () and Francois Laisney

No 05-23, ZEW Discussion Papers from ZEW - Leibniz Centre for European Economic Research

Abstract: We use a multivariate hazard model for the analysis of data on the timing of ratifications of different conventions. The model accounts for two random effects, one at the country level and the other at the convention level. We use a semi-parametric Bayesian approach, based on the partial likelihood. Our findings confirm the results of preceding studies that ratification behaviour varies substantially across members states and conventions. Furthermore, the results yield insights on the impact of unobserved heterogeneity on the ratification process.

Keywords: gibbs sampling; partial likelihood; frailties; duration analysis (search for similar items in EconPapers)
JEL-codes: C11 C14 C15 C41 D78 J80 O19 (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (5)

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Related works:
Working Paper: Bayesian estimation of Cox models with non-nested random effects: an application to the ratification of ILO conventions by developing countries (2009)
Journal Article: Bayesian Estimation of Cox Models with Non-nested Random Effects: an Application to the Ratification Of ILO Conventions by Developing Countries (2008)
Working Paper: Bayesian Estimation of Cox Models with Non-Nested Random Effects: An Application to the Ratification of ILO Conventions by Developing Countries (2008)
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