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An empirical analysis of the demand for health using the European Community Household Panel

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  • Jiménez-Martín, Sergi
  • Labeaga, José M.
  • Martínez-Granado, Maite

Abstract

This paper estimates demand for health equations using three waves of data from the European Community Household Panel. The economic model is a typical specification of Grossman's [1] proposal. The paper focuses on three specific points: i) the existence of two stages in the demand for health decision process (to contact a physician and how often to visit him). ii) the analysis of this double-hurdle process in different scenarios (visits to the general practitioners, the specialists and the dentists). iii) the analysis of differences across countries due to the differences on the coverage of the National Insurance Systems. The results suggest that the contact and frequency decisions of visits to either the general practitioner, the specialist or even the dentist are governed by different stochastic processes. As expected, we find some differences in the behaviour of men and women, mainly in the decisions to visit and the number of visits to specialist. We also show that the behavioural differences across countries are not extremely important, being perhaps income a determinant of the decision to contact and the intensity of the treatment in poor countries.

Suggested Citation

  • Jiménez-Martín, Sergi & Labeaga, José M. & Martínez-Granado, Maite, 2000. "An empirical analysis of the demand for health using the European Community Household Panel," UC3M Working papers. Economics 7226, Universidad Carlos III de Madrid. Departamento de Economía.
  • Handle: RePEc:cte:werepe:7226
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    References listed on IDEAS

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    1. Michael Grossman, 1972. "The Demand for Health: A Theoretical and Empirical Investigation," NBER Books, National Bureau of Economic Research, Inc, number gros72-1, March.
    2. Kenkel, Don, 1990. "Consumer Health Information and the Demand for Medical Care," The Review of Economics and Statistics, MIT Press, vol. 72(4), pages 587-595, November.
    3. Crepon, Bruno & Duguet, Emmanuel, 1997. "Research and development, competition and innovation pseudo-maximum likelihood and simulated maximum likelihood methods applied to count data models with heterogeneity," Journal of Econometrics, Elsevier, vol. 79(2), pages 355-378, August.
    4. Jones, Andrew M, 1989. "A Double-Hurdle Model of Cigarette Consumption," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(1), pages 23-39, Jan.-Mar..
    5. Winfried Pohlmeier & Volker Ulrich, 1995. "An Econometric Model of the Two-Part Decisionmaking Process in the Demand for Health Care," Journal of Human Resources, University of Wisconsin Press, vol. 30(2), pages 339-361.
    6. Cromwell, Jerry & Mitchell, Janet B., 1986. "Physician-induced demand for surgery," Journal of Health Economics, Elsevier, vol. 5(4), pages 293-313, December.
    7. Windmeijer, F A G & Silva, J M C Santos, 1997. "Endogeneity in Count Data Models: An Application to Demand for Health Care," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 281-294, May-June.
    8. Santos Silva, Joao M. C. & Windmeijer, Frank, 2001. "Two-part multiple spell models for health care demand," Journal of Econometrics, Elsevier, vol. 104(1), pages 67-89, August.
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    1. Sergi Jiménez-Martín & José Labeaga & Maite Martínez-Granado, 2004. "An empirical analysis of the demand for physician services across the European Union," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 5(2), pages 150-165, May.

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