Latent class versus two‐part models in the demand for physician services across the European Union
- 29 January 2002
- journal article
- research article
- Published by Wiley in Health Economics
- Vol. 11 (4), 301-321
- https://doi.org/10.1002/hec.672
Abstract
Using three waves of data from the European Community Household Panel, this paper estimates demand for physician services equations for 12 European countries. We focus on the selection of the most appropriate econometric specification for visits to general practitioners and to specialists among two‐part and latent class models. The distinction between the demand of services from these two types of physicians allows us to distinguish cases in which two‐part perform better than latent class models, evidence which is different from previous findings in the literature. The results suggest that latent class models are more appropriate than two‐part models to estimate general practitioners utilisation while the opposite is found for visits to the specialists. Copyright © 2002 John Wiley & Sons, Ltd.Keywords
This publication has 22 references indexed in Scilit:
- Count data models with selectivityEconometric Reviews, 1998
- DEMAND FOR MEDICAL CARE BY THE ELDERLY: A FINITE MIXTURE APPROACHJournal of Applied Econometrics, 1997
- An Econometric Model of the Two-Part Decisionmaking Process in the Demand for Health CareThe Journal of Human Resources, 1995
- Consumer Health Information and the Demand for Medical CareThe Review of Economics and Statistics, 1990
- Physician-induced demand for surgeryJournal of Health Economics, 1986
- Specification and testing of some modified count data modelsJournal of Econometrics, 1986
- The demand for healthJournal of Health Economics, 1986
- The Retirement-Health Nexus: A New Measure of an Old PuzzleThe Journal of Human Resources, 1985
- Econometric Models for Count Data with an Application to the Patents-R & D RelationshipEconometrica, 1984
- A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration DataEconometrica, 1984