Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/1853
Share/Impact:
Título : Hausman Tests for Inefficient Estimators: Application to Demand for Health Care Service
Autor : Creel, Michael
Palabras clave : Hausman test
Specification testing
Health care utilization
Fecha de publicación : 16-Apr-2002
Citación : UFAE and IAE Working Papers
509.02
Resumen: 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

Files in This Item:
File Description SizeFormat 
50902.pdf117,37 kBAdobe PDFView/Open
Show full item record
 
CSIC SFX LinksSFX Query

Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.