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Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/1853
Title: Hausman Tests for Inefficient Estimators: Application to Demand for Health Care Service
Authors: Creel, Michael
Keywords: Hausman test
Specification testing
Health care utilization
Issue Date: 16-Apr-2002
Series/Report no.: UFAE and IAE Working Papers
Abstract: 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.
URI: http://hdl.handle.net/10261/1853
Appears in Collections:(IAE) Informes y documentos de trabajo
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