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Cost-Sharing and Use of Health Services in Italy: Evidence from a Fuzzy Regression Discontinuity Design

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Abstract

We use a Regression Discontinuity Design (RDD) to evaluate the impact of cost-sharing on the use of health services. In the Italian health system, individuals reaching age 65 and earning low incomes are given total exemption from cost-sharing for health services consumption. Since the probability of exemption changes discontinuously at age 65, we use a Fuzzy RDD in which the age threshold is used as an instrument for exemption. We find that prescription drug consumption, specialist visits and diagnostic checks remarkably increase with exemption. However, using several measures of health outcomes we do not find any change in individual health.

Suggested Citation

  • Michela Ponzo & Vincenzo Scoppa, 2016. "Cost-Sharing and Use of Health Services in Italy: Evidence from a Fuzzy Regression Discontinuity Design," CSEF Working Papers 440, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
  • Handle: RePEc:sef:csefwp:440
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    Cited by:

    1. Yleania Brilli & Claudio Lucifora & Antonio Russo & Marco Tonello, 2019. "Vaccination take-up and health: evidence from a flu vaccination program for the elderly," DISCE - Working Papers del Dipartimento di Economia e Finanza def082, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).

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    Keywords

    Health Insurance; Healthcare Demand; Cost-Sharing; Moral Hazard; Health Outcomes; Fuzzy Regression Discontinuity Design; Instrumental Variables.;

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation

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