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

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.

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Year of publication:	2009
Authors:	Bernhard Boockmann. ; Dragana Djurdjevic. ; Guillaume Horny. ; François Laisney.
Institutions:	Banque de France
Subject:	Gibbs sampling \| partial likelihood \| frailties \| duration analysis

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Extent:	application/pdf
Series:	Working papers.
Type of publication:	Book / Working Paper
Language:	French
Notes:	35 pages
Classification:	C11 - Bayesian Analysis ; C14 - Semiparametric and Nonparametric Methods ; C15 - Statistical Simulation Methods; Monte Carlo Methods ; C41 - Duration Analysis ; D78 - Positive Analysis of Policy-Making and Implementation ; J80 - Labor Standards: National and International. General ; O19 - International Linkages to Development; Role of International Organizations
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10008479238