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Estimating Price Elasticities of Convalescent Care Programmes

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  • NicolasR. Ziebarth

Abstract

This study is the first to estimate price elasticities of demand for convalescent care programmes. In 1997, the German legislature more than doubled the daily co-payments for the publicly insured from €6 to €13. The measure caused the overall demand for convalescent care treatments to fall by 20 to 25%. I estimate the price elasticity for medical rehabilitation programmes aimed at preventing work disability to be about - 0.3, whereas the elasticity for medical rehabilitation programmes for recovery from accidents at work lies around - 0.5. The demand for preventive treatment at health spas is elastic and less than - 1. Copyright © The Author(s). Journal compilation © Royal Economic Society 2010.

Suggested Citation

  • NicolasR. Ziebarth, 2010. "Estimating Price Elasticities of Convalescent Care Programmes," Economic Journal, Royal Economic Society, vol. 120(545), pages 816-844, June.
  • Handle: RePEc:ecj:econjl:v:120:y:2010:i:545:p:816-844
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    1. Chiappori, Pierre-Andre & Durand, Franck & Geoffard, Pierre-Yves, 1998. "Moral hazard and the demand for physician services: First lessons from a French natural experiment," European Economic Review, Elsevier, vol. 42(3-5), pages 499-511, May.
    2. Meyer, Bruce D & Viscusi, W Kip & Durbin, David L, 1995. "Workers' Compensation and Injury Duration: Evidence from a Natural Experiment," American Economic Review, American Economic Association, vol. 85(3), pages 322-340, June.
    3. Partha Deb, 2001. "A discrete random effects probit model with application to the demand for preventive care," Health Economics, John Wiley & Sons, Ltd., vol. 10(5), pages 371-383.
    4. Manning, Willard G, et al, 1987. "Health Insurance and the Demand for Medical Care: Evidence from a Randomized Experiment," American Economic Review, American Economic Association, vol. 77(3), pages 251-277, June.
    5. Puhani, Patrick A., 2012. "The treatment effect, the cross difference, and the interaction term in nonlinear “difference-in-differences” models," Economics Letters, Elsevier, vol. 115(1), pages 85-87.
    6. Lee, ChoongSup, 1995. "Optimal medical treatment under asymmetric information," Journal of Health Economics, Elsevier, vol. 14(4), pages 419-441, October.
    7. Bishai, D. & Sindelar, J. & Ricketts, E.P. & Huettner, S. & Cornelius, L. & Lloyd, J.J. & Havens, J.R. & Latkin, C.A. & Strathdee, S.A., 2008. "Willingness to pay for drug rehabilitation: Implications for cost recovery," Journal of Health Economics, Elsevier, vol. 27(4), pages 959-972, July.
    8. Ai, Chunrong & Norton, Edward C., 2003. "Interaction terms in logit and probit models," Economics Letters, Elsevier, vol. 80(1), pages 123-129, July.
    9. Ziebarth, Nicolas R. & Karlsson, Martin, 2010. "A natural experiment on sick pay cuts, sickness absence, and labor costs," Journal of Public Economics, Elsevier, vol. 94(11-12), pages 1108-1122, December.
    10. Jeffrey M. Wooldridge, 2003. "Cluster-Sample Methods in Applied Econometrics," American Economic Review, American Economic Association, vol. 93(2), pages 133-138, May.
    11. Stephen G. Donald & Kevin Lang, 2007. "Inference with Difference-in-Differences and Other Panel Data," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 221-233, May.
    12. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, Oxford University Press, vol. 119(1), pages 249-275.
    13. Cockx, Bart & Brasseur, Carine, 2003. "The demand for physician services: Evidence from a natural experiment," Journal of Health Economics, Elsevier, vol. 22(6), pages 881-913, November.
    14. Keeler, Emmett B. & Rolph, John E., 1988. "The demand for episodes of treatment in the health insurance experiment," Journal of Health Economics, Elsevier, vol. 7(4), pages 337-367, December.
    15. Wedig, Gerard J., 1988. "Health status and the demand for health : Results on price elasticities," Journal of Health Economics, Elsevier, vol. 7(2), pages 151-163, June.
    16. Gert G. Wagner & Joachim R. Frick & Jürgen Schupp, 2007. "The German Socio-Economic Panel Study (SOEP) – Scope, Evolution and Enhancements," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(1), pages 139-169.
    17. Keeler, Emmett B. & Manning, Willard G. & Wells, Kenneth B., 1988. "The demand for episodes of mental health services," Journal of Health Economics, Elsevier, vol. 7(4), pages 369-392, December.
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    Cited by:

    1. Herr, A. & Suppliet, M., 2011. "Co-Payment Exemptions and Reference Prices: an Empirical Study of Pharmaceutical Prices in Germany," Health, Econometrics and Data Group (HEDG) Working Papers 11/18, HEDG, c/o Department of Economics, University of York.
    2. Nicolas R. Ziebarth & Martin Karlsson, 2014. "The Effects Of Expanding The Generosity Of The Statutory Sickness Insurance System," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(2), pages 208-230, March.
    3. Pilny, Adam & Wübker, Ansgar & Ziebarth, Nicolas R., 2017. "Introducing risk adjustment and free health plan choice in employer-based health insurance: Evidence from Germany," Journal of Health Economics, Elsevier, vol. 56(C), pages 330-351.
    4. Richard V. Burkhauser & Mary C. Daly & Nicolas R. Ziebarth, 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, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 49(4), pages 367-386, December.
    5. Bunnings, C,; & Schmitz, H,; & Tauchmann, H,; & Ziebarth, N.R,;, 2015. "How Health Plan Enrollees Value Prices Relative to Supplemental Benefits and Service Quality," Health, Econometrics and Data Group (HEDG) Working Papers 15/02, HEDG, c/o Department of Economics, University of York.
    6. Ziebarth, Nicolas R., 2017. "Social Insurance and Health," IZA Discussion Papers 10918, Institute for the Study of Labor (IZA).
    7. repec:kap:pubcho:v:171:y:2017:i:1:d:10.1007_s11127-016-0399-3 is not listed on IDEAS
    8. Christian Bünnings & Hendrik Schmitz & Harald Tauchmann & Nicolas R. Ziebarth, 2015. "How Health Plan Enrollees Value Prices Relative to Supplemental Benefits and Service Quality," Ruhr Economic Papers 0545, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    9. repec:zbw:rwirep:0545 is not listed on IDEAS
    10. Udo Schneider & Roland Linder & Frank Verheyen, 2016. "Long-term sick leave and the impact of a graded return-to-work program: evidence from Germany," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(5), pages 629-643, June.
    11. Nicolas Ziebarth, 2014. "Assessing the effectiveness of health care cost containment measures: evidence from the market for rehabilitation care," International Journal of Health Economics and Management, Springer, vol. 14(1), pages 41-67, March.
    12. Woodard, Joshua, 2016. "Estimation of Insurance Deductible Demand under Endogenous Premium Rates," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 236151, Agricultural and Applied Economics Association.

    More about this item

    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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