Inference in Mixed Proportional Hazard Models with K Random Effects
A general formulation of Mixed Proportional Hazard models with K random effects is provided. It enables to account for a population stratified at K different levels. We then show how to approximate the partial maximum likelihood estimator using an EM algorithm. In a Monte Carlo study, the behavior of the estimator is assessed and I provide an application to the ratification of ILO conventions. Compared to other procedures, the results indicate an important decrease in computing time, as well as improved convergence and stability.
|Date of creation:||2009|
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- Samuel Manda & Renate Meyer, 2005. "Age at first marriage in Malawi: a Bayesian multilevel analysis using a discrete time-to-event model," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(2), pages 439-455.
- Bernhard Boockmann, 2001. "The ratification of ILO conventions: A hazard rate analysis," Economics and Politics, Wiley Blackwell, vol. 13(3), pages 281-309, November.
- Bernhard Boockmann. & Dragana Djurdjevic. & Guillaume Horny. & François Laisney., 2009.
"Bayesian estimation of Cox models with non-nested random effects: an application to the ratification of ILO conventions by developing countries,"
249, Banque de France.
- Guillaume Horny & Dragana Djurdjevic & Bernhard Boockmann & François Laisney, 2008. "Bayesian Estimation of Cox Models with Non-nested Random Effects: an Application to the Ratification Of ILO Conventions by Developing Countries," Annals of Economics and Statistics, GENES, issue 89, pages 193-214.
- Horney, Guillaume & Boockmann, Bernhard & Djurdjevic, Dragana & Laisney, François, 2005. "Bayesian estimation of Cox model with non-nested random effects: an application to the ratification of ILO conventions by developing countries," ZEW Discussion Papers 05-23, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
- repec:adr:anecst:y:1990:i:17:p:07 is not listed on IDEAS
- Pakes, Ariel, 1983. "On Group Effects and Errors in Variables in Aggregation," The Review of Economics and Statistics, MIT Press, vol. 65(1), pages 168-173, February.
- Van den Berg, Gerard J., 2000.
"Duration Models: Specification, Identification, and Multiple Durations,"
9446, University Library of Munich, Germany.
- Van den Berg, Gerard J., 2001. "Duration models: specification, identification and multiple durations," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 55, pages 3381-3460 Elsevier.
- Vu, Hien T. V., 2004. "Estimation in semiparametric conditional shared frailty models with events before study entry," Computational Statistics & Data Analysis, Elsevier, vol. 45(3), pages 621-637, April.
- Hien T.V. Vu & Matthew W. Knuiman, 2002. "Estimation in Semiparametric Marginal Shared Gamma Frailty Models," Australian & New Zealand Journal of Statistics, Australian Statistical Publishing Association Inc., vol. 44(4), pages 489-501, December.
- Moulton, Brent R., 1986. "Random group effects and the precision of regression estimates," Journal of Econometrics, Elsevier, vol. 32(3), pages 385-397, August.
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