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

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  • Horney, Guillaume
  • Boockmann, Bernhard
  • Djurdjevic, Dragana
  • Laisney, François

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. --

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Bibliographic Info

Paper provided by ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research in its series ZEW Discussion Papers with number 05-23.

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Date of creation: 2005
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Handle: RePEc:zbw:zewdip:3180

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Keywords: gibbs sampling; partial likelihood; frailties; duration analysis;

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References

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  1. Guillaume Horny., 2009. "Inference in Mixed Proportional Hazard Models with K Random Effects," Working papers 248, Banque de France.
  2. Bolstad W. M & Manda S. O, 2001. "Investigating Child Mortality in Malawi Using Family and Community Random Effects: A Bayesian Analysis," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 12-19, March.
  3. Honore, Bo E, 1993. "Identification Results for Duration Models with Multiple Spells," Review of Economic Studies, Wiley Blackwell, vol. 60(1), pages 241-46, January.
  4. Van den Berg, Gerard J., 2000. "Duration Models: Specification, Identification, and Multiple Durations," MPRA Paper 9446, University Library of Munich, Germany.
  5. Elbers, Chris & Ridder, Geert, 1982. "True and Spurious Duration Dependence: The Identifiability of the Proportional Hazard Model," Review of Economic Studies, Wiley Blackwell, vol. 49(3), pages 403-09, July.
  6. Bernhard Boockmann, 2001. "The ratification of ILO conventions: A hazard rate analysis," Economics and Politics, Wiley Blackwell, vol. 13(3), pages 281-309, November.
  7. Lancaster, Tony, 1979. "Econometric Methods for the Duration of Unemployment," Econometrica, Econometric Society, vol. 47(4), pages 939-56, July.
  8. Ridder, Geert & Tunali, Insan, 1999. "Stratified partial likelihood estimation," Journal of Econometrics, Elsevier, vol. 92(2), pages 193-232, October.
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Cited by:
  1. Pouliakas, Konstantinos & Theodossiou, Ioannis, 2010. "An Inquiry Into The Theory, Causes And Consequences Of Monitoring Indicators Of Health And Safety At Work," SIRE Discussion Papers 2010-120, Scottish Institute for Research in Economics (SIRE).
  2. Rute Mendes & Gerard J. Van den Berg & Guillaume Horny, 2007. "Job mobility in Portugal: a Bayesian study with matched worker-firm data," 2007 Meeting Papers 454, Society for Economic Dynamics.
  3. Guillaume Horny., 2009. "Inference in Mixed Proportional Hazard Models with K Random Effects," Working papers 248, Banque de France.
  4. Horny, Guillaume & Mendes, Rute & van den Berg, Gerard J, 2009. "Job durations with worker and firm specific effects: MCMC estimation with longitudinal employer-employee data," Working Paper Series 2009:4, IFAU - Institute for Evaluation of Labour Market and Education Policy.

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