Bayesian Estimation of Cox Models with Non-Nested Random Effects: An Application to the Ratification of ILO Conventions by Developing Countries

Estimation bayésienne de modèles de Cox à effets aléatoires non-emboîtés: une application à la ratification des conventions de l'OIT par les pays en voie de développement

Guillaume Horny, Bernhard Boockmann, Dragana Djurdjevic and Francois Laisney
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Bernhard Boockmann: Institut für Angewandte Wirtschaftsforschung (IAW) - Eberhard Karls Universität Tübingen = University of Tübingen
Dragana Djurdjevic: Wüest & Partner AG - Wüest & Partner

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Abstract: This empirical study investigates the ratification behaviour of ILO member states. 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 of a semi-parametric Bayesian approach, based on the partial likelihood. Our findings confirm the results of preceding studies that ratification behaviour varies substantially across member 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)
Date: 2008-01
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Published in Annales d'Economie et de Statistique, 2008, 89, pp.193-214. ⟨10.2307/27715167⟩

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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 model with non-nested random effects: an application to the ratification of ILO conventions by developing countries (2005)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00279414

DOI: 10.2307/27715167

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