Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/1758
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Título : Modeling Usage of Medical Care Services: The Medical Expenditure Panel Survey Data, 1996-2000
Autor : Creel, Michael, Farell, Montserrat
Palabras clave : Medical care
Count data
Maximum likelihood
Fecha de publicación : 21-Apr-2005
Citación : UFAE and IAE Working Papers
646.05
Resumen: We explore the determinants of usage of six different types of health careservices, using the Medical Expenditure Panel Survey data, years 1996-2000.We apply a number of models for univariate count data, including semiparametric, semi-nonparametric and finite mixture models.We find that the complexity of the model that is required to fit the datawell depends upon the way in which the data is pooled across sexes andover time, and upon the characteristics of the usage measure.Pooling across time and sexes is almost always favored, but when more heterogeneous data is pooled it is often the case that a more complex statisticalmodel is required.
URI : http://hdl.handle.net/10261/1758
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