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Boes

Fakultäten » Wirtschaftswissenschaftliche Fakultät » Volkswirtschaftslehre, Institut für » Prof. Dr. Rainer Winkelmann » Boes

Completed research project

Title / Titel Semiparametric Estimation of Count Data Models
PDF Abstract (PDF, 14 KB)
Summary / Zusammenfassung Recent advances in the econometric modelling of count data have often been based on the generalized method of moments (GMM). However, the two-step GMM procedure may perform poorly in small samples, and several empirical likelihood-based estimators have been suggested alternatively. In this research project semiparametric estimation of count data models is further investigated. A main part of the research lies in the analysis of endogenous regressors, unobserved heterogeneity, and weak instruments within these models. The proposed estimators are applied to different empirical frameworks such as the relationship between fertility and education, the determinants of smoking behavior, and the number of doctor visits.
Publications / Publikationen Boes, S., Empirical Likelihood in Count Data Models: The Case of Endogenous Regressors, University of Zurich, SOI Working Paper 0404.
Keywords / Suchbegriffe Nonparametric likelihood, Poisson model, endogeneity, weak instruments, unobserved heterogeneity.
Project leadership and contacts /
Projektleitung und Kontakte
Stefan Boes (Project Leader) boes@sts.uzh.ch
Funding source(s) /
Unterstützt durch
Universität Zürich (position pursuing an academic career)
 
Duration of Project / Projektdauer Oct 2003 to Oct 2008