Bayesian estimation of Cox model with non-nested random effects: an application to the ratification of ILO conventions by developing countries
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.
Year of publication: |
2005
|
---|---|
Authors: | Horney, Guillaume ; Boockmann, Bernhard ; Djurdjevic, Dragana ; Laisney, François |
Institutions: | Zentrum für Europäische Wirtschaftsforschung (ZEW) |
Subject: | gibbs sampling | partial likelihood | frailties | duration analysis |
Saved in:
freely available
Extent: | application/pdf |
---|---|
Series: | |
Type of publication: | Book / Working Paper |
Language: | English |
Notes: | Number 05-23 |
Classification: | D78 - Positive Analysis of Policy-Making and Implementation ; C41 - Duration Analysis ; O19 - International Linkages to Development; Role of International Organizations ; C15 - Statistical Simulation Methods; Monte Carlo Methods ; J80 - Labor Standards: National and International. General ; C14 - Semiparametric and Nonparametric Methods ; C11 - Bayesian Analysis |
Source: |
Persistent link: https://www.econbiz.de/10005097590