A simple GMM estimator for the semi-parametric mixed proportional hazard model

G.E. Bijwaard, G. Ridder, T. Woutersen

Onderzoeksoutput: Boek/RapportRapportProfessioneel

136 Downloads (Pure)


Ridder and Woutersen (2003) have shown that under a weak condition on the baseline hazard, there exist root-N consistent estimators of the parameters in a semiparametric Mixed Proportional Hazard model with a parametric baseline hazard and unspeci…ed distribution of the unobserved heterogeneity. We extend the Linear Rank Estimator (LRE) of Tsiatis (1990) and Robins and Tsiatis (1991) to this class of models. The optimal LRE is a two-step estimator. We propose a simple one-step estimator that is close to optimal if there is no unobserved heterogeneity. The e¢ ciency gain associated with the optimal LRE increases with the degree of unobserved heterogeneity.
Originele taal-2Niet gedefinieerd
UitgeverijNORFACE Migration
Aantal pagina's49
StatusGepubliceerd - 2012

Publicatie series

NaamNORFACE discussion papers

Citeer dit