IDEAS home Printed from https://ideas.repec.org/a/aoj/ajeaer/v4y2017i1p8-13id226.html
   My bibliography  Save this article

Health Insurance and the Demand for Medical Care: a Case Study from China

Author

Listed:
  • Zi-Yi Guo

Abstract

Standard insurance theory expects that expenditures and coverage should be positively correlated, for two main reasons: first, high risky individuals prefer to choose a more generous coverage (selection effect); second, a more extensive coverage may increase health costs (incentive effect). We try to empirically separate the selection effect and incentive effect on the health care expenditures with a novel Chinese dataset. With our estimation, we do find the evidences of selection effect, but fail to find the incentive effect. Besides, we also find some evidences of Physician-Induced Demand.

Suggested Citation

  • Zi-Yi Guo, 2017. "Health Insurance and the Demand for Medical Care: a Case Study from China," Asian Journal of Economics and Empirical Research, Asian Online Journal Publishing Group, vol. 4(1), pages 8-13.
  • Handle: RePEc:aoj:ajeaer:v:4:y:2017:i:1:p:8-13:id:226
    as

    Download full text from publisher

    File URL: http://asianonlinejournals.com/index.php/AJEER/article/view/226/203
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Feldstein, Martin S, 1977. "Quality Change and the Demand for Hospital Care," Econometrica, Econometric Society, vol. 45(7), pages 1681-1702, October.
    2. Xu, Judy & Yang, Yue, 2009. "Traditional Chinese medicine in the Chinese health care system," Health Policy, Elsevier, vol. 90(2-3), pages 133-139, May.
    3. Liran Einav & Amy Finkelstein & Stephen P. Ryan & Paul Schrimpf & Mark R. Cullen, 2013. "Selection on Moral Hazard in Health Insurance," American Economic Review, American Economic Association, vol. 103(1), pages 178-219, February.
    4. Keane, Michael & Stavrunova, Olena, 2016. "Adverse selection, moral hazard and the demand for Medigap insurance," Journal of Econometrics, Elsevier, vol. 190(1), pages 62-78.
    5. Manning, Willard G., 1998. "The logged dependent variable, heteroscedasticity, and the retransformation problem," Journal of Health Economics, Elsevier, vol. 17(3), pages 283-295, June.
    6. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    7. 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.
    8. Alma Cohen & Peter Siegelman, 2010. "Testing for Adverse Selection in Insurance Markets," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 77(1), pages 39-84, March.
    9. Yip, Winnie & Hsiao, William, 2009. "China's health care reform: A tentative assessment," China Economic Review, Elsevier, vol. 20(4), pages 613-619, December.
    10. Jinyong Hahn & Jerry Hausman, 2010. "Estimation with Valid and Invalid Instruments," NBER Chapters, in: Contributions in Memory of Zvi Griliches, pages 25-57, National Bureau of Economic Research, Inc.
    11. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    12. repec:adr:anecst:y:2005:i:79-80:p:02 is not listed on IDEAS
    13. Geoffard, Pierre-Yves & Gardiol, Lucien & Grandchamp, Chantal, 2005. "Separating Selection and Incentive Effects in Health Insurance," CEPR Discussion Papers 5380, C.E.P.R. Discussion Papers.
    14. Mariacristina De Nardi & Eric French & John Bailey Jones, 2016. "Medicaid Insurance in Old Age," American Economic Review, American Economic Association, vol. 106(11), pages 3480-3520, November.
    15. Pierre-Andre Chiappori & Bernard Salanie, 2000. "Testing for Asymmetric Information in Insurance Markets," Journal of Political Economy, University of Chicago Press, vol. 108(1), pages 56-78, February.
    16. Xiaoyan Lei & Wanchuan Lin, 2009. "The New Cooperative Medical Scheme in rural China: does more coverage mean more service and better health?," Health Economics, John Wiley & Sons, Ltd., vol. 18(S2), pages 25-46, July.
    17. Feldstein, Martin S, 1971. "Hospital Cost Inflation: A Study of Nonprofit Price Dynamics," American Economic Review, American Economic Association, vol. 61(5), pages 853-872, December.
    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. Xuenan Ju & Baowen Sun & Jieying Jin, 2018. "The Effect of New Energy Vehicle Policies on Traffic Congestion: Evidence from Beijing," Business and Management Research, Business and Management Research, Sciedu Press, vol. 7(4), pages 9-21, December.
    2. Kevin Pacini & David Berg & Thomas Tischer & Peter Mayer & Jean Azam & and Joe Johnson, 2018. "Macroeconomic factors dynamics and firm performance in the United Kingdom," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 8(2), pages 1393-1393.
    3. Saddam Ali Shatnawi & Bilal Khalaf Sakarneh, 2021. "Effect of Covid-19 in Jordan: Conceptual Analysis of Different Economic Sectors," Business and Economic Research, Macrothink Institute, vol. 11(2), pages 266-278, June.
    4. Yun-Chen Morgan & Yu Hsing & Antoinette S. Phillips & Carl Phillips, 2020. "Ranking of America's Top States for Business and Unemployment Rate, Growth Rate of Employment, and Growth Rate of Gross State Product," Business and Economic Research, Macrothink Institute, vol. 10(3), pages 137-145, September.
    5. Sengupta, Reshmi & Rooj, Debasis, 2019. "The effect of health insurance on hospitalization: Identification of adverse selection, moral hazard and the vulnerable population in the Indian healthcare market," World Development, Elsevier, vol. 122(C), pages 110-129.
    6. Joerg Wilde, 2020. "What is the Return Rate of a Corporate Pension Scheme? Generalized Annuity Factors Simplify Calculation," Accounting and Finance Research, Sciedu Press, vol. 9(1), pages 1-76, February.

    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. Zi-Yi Guo, 2017. "Health Insurance and the Demand for Medical Care: a Case Study from China," Asian Journal of Economics and Empirical Research, Asian Online Journal Publishing Group, vol. 4(1), pages 8-13.
    2. De La Mata, Dolores & Olivella, Pau & Valdés, Maria Nieves, 2022. "Asymmetric Information with multiple risks: the case of the Chilean Private Health Insurance Market," UC3M Working papers. Economics 35441, Universidad Carlos III de Madrid. Departamento de Economía.
    3. Georges Dionne, 2012. "The Empirical Measure of Information Problems with Emphasis on Insurance Fraud and Dynamic Data," Cahiers de recherche 1233, CIRPEE.
    4. Nathaniel Hendren & Camille Landais & Johannes Spinnewijn, 2021. "Choice in Insurance Markets: A Pigouvian Approach to Social Insurance Design," Annual Review of Economics, Annual Reviews, vol. 13(1), pages 457-486, August.
    5. Jan Michael Bauer & Jörg Schiller & Christopher Schreckenberger, 2020. "Heterogeneous selection in the market for private supplemental dental insurance: evidence from Germany," Empirical Economics, Springer, vol. 59(1), pages 205-231, July.
    6. Raj Chetty & Amy Finkelstein, 2012. "Social Insurance: Connecting Theory to Data," NBER Working Papers 18433, National Bureau of Economic Research, Inc.
    7. Keane, Michael & Stavrunova, Olena, 2016. "Adverse selection, moral hazard and the demand for Medigap insurance," Journal of Econometrics, Elsevier, vol. 190(1), pages 62-78.
    8. van der Klaauw, Bas, 2014. "From micro data to causality: Forty years of empirical labor economics," Labour Economics, Elsevier, vol. 30(C), pages 88-97.
    9. Giampiero Marra & Rosalba Radice & David Zimmer, 2021. "Did the ACA's “guaranteed issue” provision cause adverse selection into nongroup insurance? Analysis using a copula‐based hurdle model," Health Economics, John Wiley & Sons, Ltd., vol. 30(9), pages 2246-2263, September.
    10. Vincenzo Atella & Alberto Holly & Alessandro Mistretta, 2016. "Disentangling Adverse Selection, Moral Hazard and Supply Induced Demand: An Empirical Analysis of The Demand For Healthcare Services," CEIS Research Paper 389, Tor Vergata University, CEIS, revised 31 Oct 2018.
    11. Powell, David & Goldman, Dana, 2021. "Disentangling moral hazard and adverse selection in private health insurance," Journal of Econometrics, Elsevier, vol. 222(1), pages 141-160.
    12. Dionne, Georges, 1998. "La mesure empirique des problèmes d’information," L'Actualité Economique, Société Canadienne de Science Economique, vol. 74(4), pages 585-606, décembre.
    13. Mullahy, John, 1998. "Much ado about two: reconsidering retransformation and the two-part model in health econometrics," Journal of Health Economics, Elsevier, vol. 17(3), pages 247-281, June.
    14. Trottmann, Maria & Zweifel, Peter & Beck, Konstantin, 2012. "Supply-side and demand-side cost sharing in deregulated social health insurance: Which is more effective?," Journal of Health Economics, Elsevier, vol. 31(1), pages 231-242.
    15. Mariacristina De Nardi & Eric French & John Bailey Jones, 2016. "Medicaid Insurance in Old Age," American Economic Review, American Economic Association, vol. 106(11), pages 3480-3520, November.
    16. Qin Zhou & Gordon G. Liu & Sam Krumholz, 2017. "Is Chinese National Health Insurance Effective in the Face of Severe Illness? A Perspective from Health Service Utilization and Economic Burden," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 132(3), pages 1307-1329, July.
    17. 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.
    18. Dardanoni, Valentino & Li Donni, Paolo, 2012. "Incentive and selection effects of Medigap insurance on inpatient care," Journal of Health Economics, Elsevier, vol. 31(3), pages 457-470.
    19. Pierre-Yves Geoffard, 2012. "Incentive and Selection Effects in Health Insurance," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 10, Edward Elgar Publishing.
    20. Kai (Jackie) Zhao, 2011. "Social Security and the Rise in Health Spending: A Macroeconomic Analysis," 2011 Meeting Papers 1061, Society for Economic Dynamics.

    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:aoj:ajeaer:v:4:y:2017:i:1:p:8-13:id:226. 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: Sara Lim (email available below). General contact details of provider: http://asianonlinejournals.com/index.php/AJEER/ .

    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.