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

Bernhard Boockmann (), Dragana Djurdjevic (), Guillaume Horny () and François Laisney.

Documents de Travail from Banque de France

Abstract: We use a multivariate hazard model to analyse the ratification behaviour of ILO conventions by developing countries. The model accounts for two random effects: one at the country level, the other at the convention level. After investigating identification, we use a semi-parametric Bayesian approach based on the partial likelihood. We find diverging results between Bayesian and frequentist estimates concerning the importance of the two unobserved heterogeneities.

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)
New Economics Papers: this item is included in nep-dev and nep-ecm
Date: 2009
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http://www.banque-france.fr/gb/publications/telechar/ner/DT249.pdf (application/pdf)

Related works:
Working Paper: Bayesian estimation of Cox model with non-nested random effects: an application to the ratification of ILO conventions by developing countries (2005)
Journal Article: 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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Persistent link: http://EconPapers.repec.org/RePEc:bfr:banfra:249

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