Moral Hazard and the Demand for Health Services: A Matching Estimator Approach
AbstractWe estimate the impact of health insurance coverage beyond National Health Insurance on the demand for several health services. Traditionally, the literature has tried to deal with the endogeneity of the private (extra) insurance decision by finding instrumental variables. Since a priori instrumental variables are hard to find we take a different approach. We focus on the most common health insurance plan in Portugal, ADSE, which is given to all civil servants and their dependants. We argue this insurance is exogenous i.e. not correlated with beneficiaries’ health status. This identifying assumption allows us to estimate the impact of having ADSE coverage on three different health services using a matching estimator technique. The health services used are: number of visits, number of blood and urine tests, and the probability of visiting a dentist. Results show large positive effects of ADSE for number of visits and tests among the young (18 to 30 years old) but only the latter is statistically significantly different from zero. The effects represent 21.8 and 30% of the average number of visits and tests for the young. On the contrary, we find no evidence of moral hazard on the probability of visiting a dentist.
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Bibliographic InfoPaper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 5488.
Date of creation: Feb 2006
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Other versions of this item:
- Barros, Pedro Pita & Machado, Matilde P. & Sanz-de-Galdeano, Anna, 2008. "Moral hazard and the demand for health services: A matching estimator approach," Journal of Health Economics, Elsevier, vol. 27(4), pages 1006-1025, July.
- Pedro Pita Barros & Matilde P. Machado & Anna Sanz de Galdeano, 2005. "Moral Hazard And The Demand For Health Services: A Matching Estimator Approach," Economics Working Papers we055928, Universidad Carlos III, Departamento de Economía.
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
- I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
This paper has been announced in the following NEP Reports:
- NEP-ALL-2006-02-19 (All new papers)
- NEP-FMK-2006-02-19 (Financial Markets)
- NEP-HEA-2006-02-19 (Health Economics)
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