IDEAS home Printed from https://ideas.repec.org/p/diw/diwsop/diw_sp1016.html
   My bibliography  Save this paper

The Effect of a Ban on Gender-Based Pricing on Risk Selection in the German Health Insurance Market

Author

Listed:
  • Shan Huang
  • Martin Salm

Abstract

Starting from December 2012, insurers in the European Union were prohibited from charging gender-discriminatory prices. We examine the effect of this unisex mandate on risk segmentation in the German health insurance market. While gender used to be a pricing factor in Germany’s private health insurance (PHI) sector, it was never used as a pricing factor in the social health insurance (SHI) sector. The unisex mandate makes PHI relatively more attractive for women and less attractive for men. Based on data from the SOEP we analyze how the unisex mandate affects the difference between women and men in switching rates between SHI and PHI. We find that the unisex mandate increases the probability of switching from SHI to PHI for women relative to men. This effect is strongest for self-employed individuals and mini-jobbers. On the other hand, the unisex mandate had no effect on the gender difference in switching rates from PHI to SHI. Because women have on average higher health care expenditures than men, our results imply a reduction of advantageous selection into PHI. Our results demonstrate that regulatory measures such as the unisex mandate can reduce risk selection between public and private health insurance sectors.

Suggested Citation

  • Shan Huang & Martin Salm, 2018. "The Effect of a Ban on Gender-Based Pricing on Risk Selection in the German Health Insurance Market," SOEPpapers on Multidisciplinary Panel Data Research 1016, DIW Berlin, The German Socio-Economic Panel (SOEP).
    • Handle: RePEc:diw:diwsop:diw_sp1016
    as

    Download full text from publisher

    File URL: https://www.diw.de/documents/publikationen/73/diw_01.c.612356.de/diw_sp1016.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Thomas Buchmueller & John Dinardo, 2002. "Did Community Rating Induce an Adverse Selection Death Spiral? Evidence from New York, Pennsylvania, and Connecticut," American Economic Review, American Economic Association, vol. 92(1), pages 280-294, March.
    2. Christian Bünnings & Harald Tauchmann, 2015. "Who Opts out of the Statutory Health Insurance? A Discrete Time Hazard Model for Germany," Health Economics, John Wiley & Sons, Ltd., vol. 24(10), pages 1331-1347, October.
    3. Polyakova, Maria, 2016. "Risk selection and heterogeneous preferences in health insurance markets with a public option," Journal of Health Economics, Elsevier, vol. 49(C), pages 153-168.
    4. Edward C. Norton & Hua Wang & Chunrong Ai, 2004. "Computing interaction effects and standard errors in logit and probit models," Stata Journal, StataCorp LP, vol. 4(2), pages 154-167, June.
    5. Oliver Riedel, 2006. "Unisex Tariffs in Health Insurance," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 31(2), pages 233-244, April.
    6. Cutler, David M. & Zeckhauser, Richard J., 2000. "The anatomy of health insurance," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 11, pages 563-643, Elsevier.
    7. Vijay Aseervatham & Christoph Lex & Spindler, Martin, 2014. "How do unisex rating regulations affect gender differences in insurance premiums?," MEA discussion paper series 201416, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    8. Patrick Hullegie & Tobias J. Klein, 2010. "The effect of private health insurance on medical care utilization and self‐assessed health in Germany," Health Economics, John Wiley & Sons, Ltd., vol. 19(9), pages 1048-1062, September.
    9. Finkelstein, Amy & Poterba, James & Rothschild, Casey, 2009. "Redistribution by insurance market regulation: Analyzing a ban on gender-based retirement annuities," Journal of Financial Economics, Elsevier, vol. 91(1), pages 38-58, January.
    10. 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.
    11. Martina Grunow & Robert Nuscheler, 2014. "Public And Private Health Insurance In Germany: The Ignored Risk Selection Problem," Health Economics, John Wiley & Sons, Ltd., vol. 23(6), pages 670-687, June.
    12. Goebel Jan & Grabka Markus M. & Liebig Stefan & Kroh Martin & Richter David & Schröder Carsten & Schupp Jürgen, 2019. "The German Socio-Economic Panel (SOEP)," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(2), pages 345-360, April.
    13. Vijay Aseervatham & Christoph Lex & Martin Spindler, 2016. "How Do Unisex Rating Regulations Affect Gender Differences in Insurance Premiums?," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 41(1), pages 128-160, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Meyer, Christina, 2022. "Geschlechtsspezifisches Altersvorsorgeverhalten – Untersuchungen mit dem deutschen Taxpayer-Panel," WISTA – Wirtschaft und Statistik, Statistisches Bundesamt (Destatis), Wiesbaden, vol. 74(2), pages 30-41.
    2. Thomas Neusius, 2021. "Inhomogenous risk exposure in dual insurance system: selection effects in Germany’s long-term care plans," SN Business & Economics, Springer, vol. 1(1), pages 1-24, January.
    3. Ye, Liping & Geng, Jiang-Bo, 2021. "Measuring the connectedness of global health sector stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Huang, Shan & Salm, Martin, 2020. "The effect of a ban on gender-based pricing on risk selection in the German health insurance market," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 29(1), pages 3-17.
    2. Dauth, Christine, 2021. "The effects of private versus public health insurance on health and labor market outcomes," IAB-Discussion Paper 202103, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. Christian Bührer & Stefan Fetzer & Christian Hagist, 2018. "Adverse Selection in the German Health Insurance System – The Case of Civil Servants," WHU Working Paper Series - Economics Group 18-06, WHU - Otto Beisheim School of Management.
    4. Sebastian Panthöfer, 2016. "Risk Selection under Public Health Insurance with Opt‐Out," Health Economics, John Wiley & Sons, Ltd., vol. 25(9), pages 1163-1181, September.
    5. Bührer, Christian & Fetzer, Stefan & Hagist, Christian, 2020. "Adverse selection in the German Health Insurance System – the case of civil servants," Health Policy, Elsevier, vol. 124(8), pages 888-894.
    6. Raj Chetty & Amy Finkelstein, 2012. "Social Insurance: Connecting Theory to Data," NBER Working Papers 18433, National Bureau of Economic Research, Inc.
    7. Kanika Kapur, 2020. "Private Health Insurance in Ireland: Trends and Determinants," The Economic and Social Review, Economic and Social Studies, vol. 51(1), pages 63-92.
    8. 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.
    9. Juan Pablo Atal & Hanming Fang & Martin Karlsson & Nicolas R. Ziebarth, 2020. "Long-Term Health Insurance: Theory Meets Evidence," PIER Working Paper Archive 20-009, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    10. Wunder, Christoph & Schwarze, Johannes & Krug, Gerhard & Herzog, Bodo, 2008. "Welfare effects of the euro cash changeover," European Journal of Political Economy, Elsevier, vol. 24(3), pages 571-586, September.
    11. Thomas Neusius, 2021. "Inhomogenous risk exposure in dual insurance system: selection effects in Germany’s long-term care plans," SN Business & Economics, Springer, vol. 1(1), pages 1-24, January.
    12. repec:zbw:rwirep:0458 is not listed on IDEAS
    13. Christian Bünnings & Harald Tauchmann, 2013. "Who Opts Out of the Statutory Health Insurance? A Discrete Time Hazard Model for Germany," Ruhr Economic Papers 0458, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    14. Christian Bünnings & Harald Tauchmann, 2015. "Who Opts out of the Statutory Health Insurance? A Discrete Time Hazard Model for Germany," Health Economics, John Wiley & Sons, Ltd., vol. 24(10), pages 1331-1347, October.
    15. Polyakova, Maria, 2016. "Risk selection and heterogeneous preferences in health insurance markets with a public option," Journal of Health Economics, Elsevier, vol. 49(C), pages 153-168.
    16. Juan Pablo Atal & Hanming Fang & Martin Karlsson & Nicolas R. Ziebarth, 2020. "German Long-Term Health Insurance: Theory Meets Evidence," NBER Working Papers 26870, National Bureau of Economic Research, Inc.
    17. Daniel McFadden & Carlos Noton & Pau Olivella, "undated". "Remedies for Sick Insurance," Working Papers 620, Barcelona School of Economics.
    18. Schneck, Stefan, 2018. "The effect of self-employment on income inequality," Working Papers 05/18, Institut für Mittelstandsforschung (IfM) Bonn.
    19. Liran Einav & Amy Finkelstein & Mark R. Cullen, 2010. "Estimating Welfare in Insurance Markets Using Variation in Prices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(3), pages 877-921.
    20. Mercedes Ayuso & Montserrat Guillen & Ana María Pérez-Marín, 2016. "Telematics and Gender Discrimination: Some Usage-Based Evidence on Whether Men’s Risk of Accidents Differs from Women’s," Risks, MDPI, vol. 4(2), pages 1-10, April.
    21. Christian Dustmann & Bernd Fitzenberger & Markus Zimmermann, 2022. "Housing Expenditure and Income Inequality," The Economic Journal, Royal Economic Society, vol. 132(645), pages 1709-1736.

    More about this item

    Keywords

    unisex mandate; public and private health insurance; risk selection; Germany;
    All these keywords.

    JEL classification:

    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:diw:diwsop:diw_sp1016. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Bibliothek (email available below). General contact details of provider: https://edirc.repec.org/data/sodiwde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.