Hausman Tests for Inefficient Estimators: Application to Demand for Health Care Service

dc.creator	Creel, Michael
dc.date	2007-11-06T07:48:29Z
dc.date	2007-11-06T07:48:29Z
dc.date	2002-04-16
dc.date.accessioned	2017-01-31T00:58:02Z
dc.date.available	2017-01-31T00:58:02Z
dc.identifier	http://hdl.handle.net/10261/1853
dc.identifier.uri	http://dspace.mediu.edu.my:8181/xmlui/handle/10261/1853
dc.description	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.
dc.language	eng
dc.relation	UFAE and IAE Working Papers
dc.relation	509.02
dc.rights	openAccess
dc.subject	Hausman test
dc.subject	Specification testing
dc.subject	Health care utilization
dc.title	Hausman Tests for Inefficient Estimators: Application to Demand for Health Care Service
dc.type	Documento de trabajo

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