Hausman tests for inefficient estimators: application to demand for health care service (revised)


Autoria(s): Creel, Michael D.
Contribuinte(s)

Universitat Autònoma de Barcelona. Unitat de Fonaments de l'Anàlisi Econòmica

Institut d'Anàlisi Econòmica

Data(s)

09/05/2006

Resumo

The Hausman (1978) test is based on the vector of differences of two estimators. It is usually assumed that one of the estimators is fully efficient, since this simplifies calculation of the test statistic. However, this assumption limits the applicability of the test, since widely used estimators such as the generalized method of moments (GMM) or quasi maximum likelihood (QML) are often not fully efficient. This paper shows that the test may easily be implemented, using well-known methods, when neither estimator is efficient. To illustrate, we present both simulation results as well as empirical results for utilization of health care services.

Formato

19

120184 bytes

application/pdf

Identificador

http://hdl.handle.net/2072/1940

Idioma(s)

eng

Relação

Working papers; 509.02

Direitos

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Tipo

info:eu-repo/semantics/workingPaper