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Assessing the Effectiveness of Health Care Cost Containment Measures

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  • Nicolas R. Ziebarth

Abstract

Using SOEP panel data and difference-in-differences methods, this study is the first to empirically evaluate the effectiveness of four different health care cost containment measures within an integrated framework. The four measures investigated were introduced in Germany in 1997 to reduce moral hazard and public health expenditures in the market for convalescent care. Doubling the daily copayments was clearly the most effective cost containment measure, resulting in a reduction in demand of about 20 percent. Indirect measures such as allowing employers to cut statutory sick pay or paid vacation during health spa stays did not significantly reduce demand.

Suggested Citation

  • Nicolas R. Ziebarth, 2011. "Assessing the Effectiveness of Health Care Cost Containment Measures," SOEPpapers on Multidisciplinary Panel Data Research 352, DIW Berlin, The German Socio-Economic Panel (SOEP).
    • Handle: RePEc:diw:diwsop:diw_sp352
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    References listed on IDEAS

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    1. Di Matteo, Livio, 2005. "The macro determinants of health expenditure in the United States and Canada: assessing the impact of income, age distribution and time," Health Policy, Elsevier, vol. 71(1), pages 23-42, January.
    2. van Kleef, R.C. & van de Ven, W.P.M.M. & van Vliet, R.C.J.A., 2009. "Shifted deductibles for high risks: More effective in reducing moral hazard than traditional deductibles," Journal of Health Economics, Elsevier, vol. 28(1), pages 198-209, January.
    3. Marinoso, Begona Garcia & Jelovac, Izabela, 2003. "GPs' payment contracts and their referral practice," Journal of Health Economics, Elsevier, vol. 22(4), pages 617-635, July.
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    2. Burkhauser, Richard V. & Daly, Mary C. & Ziebarth, Nicolas, 2016. "Protecting working-age people with disabilities : experiences of four industrialized nations (Absicherung von Personen mit Erwerbsminderung : Erfahrungen aus vier Industrieländern)," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 49(4), pages 367-386.

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    Keywords

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    JEL classification:

    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

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