IDEAS home Printed from https://ideas.repec.org/a/rje/randje/v34y2003i4p670-93.html
   My bibliography  Save this article

Structural Estimation of a Principal-Agent Model: Moral Hazard in Medical Insurance

Author

Listed:
  • Vera-Hernandez, Marcos

Abstract

Despite the importance of principal-agent models in the development of modern economic theory, there are few estimations of these models. I recover the estimates of a principal-agent model and obtain an approximation to the optimal contract. The results show that out-of-pocket payments follow a concave profile with respect to costs of treatment. I estimate the welfare loss due to moral hazard, taking into account income effects. I also propose a new measure of moral hazard based on the conditional correlation between contractible and noncontractible variables. Copyright 2003 by the RAND Corporation.

Suggested Citation

  • Vera-Hernandez, Marcos, 2003. "Structural Estimation of a Principal-Agent Model: Moral Hazard in Medical Insurance," RAND Journal of Economics, The RAND Corporation, vol. 34(4), pages 670-693, Winter.
    • Handle: RePEc:rje:randje:v:34:y:2003:i:4:p:670-93
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Zarek C. Brot-Goldberg & Amitabh Chandra & Benjamin R. Handel & Jonathan T. Kolstad, 2017. "What does a Deductible Do? The Impact of Cost-Sharing on Health Care Prices, Quantities, and Spending Dynamics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(3), pages 1261-1318.
    2. Wagstaff, Adam & Pradhan, Menno, 2005. "Health insurance impacts on health and nonmedical consumption in a developing country," Policy Research Working Paper Series 3563, The World Bank.
    3. Hyojoung Kim & Doyoung Kim & Subin Im & James W. Hardin, 2009. "Evidence of Asymmetric Information in the Automobile Insurance Market: Dichotomous Versus Multinomial Measurement of Insurance Coverage," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(2), pages 343-366, June.
    4. Vedel, Suzanne Elizabeth & Jacobsen, Jette Bredahl & Thorsen, Bo Jellesmark, 2015. "Contracts for afforestation and the role of monitoring for landowners’ willingness to accept," Forest Policy and Economics, Elsevier, vol. 51(C), pages 29-37.
    5. Zheng, Yan & Vukina, Tomislav & Zheng, Xiaoyong, 2016. "Estimating Asymmetric Information Effects in Health Care Accounting for the Transactions Costs," ARE Working Papers 262941, North Carolina State University, Department of Agricultural and Resource Economics.
    6. Pedro Rosa Dias, 2010. "Modelling opportunity in health under partial observability of circumstances," Health Economics, John Wiley & Sons, Ltd., vol. 19(3), pages 252-264, March.
    7. Navarro Espigares, José Luis & Hernández Torres, Elisa, 2006. "Health Technologies Assessment: Analysing The Role Of Uncertainty/Evaluación De Tecnologías Sanitarias: Análisis Del Papel De La Incertidumbre," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 24, pages 731-754, Diciembre.
    8. Jianmei Zhao & Hai Zhong, 2015. "Medical expenditure in urban China: a quantile regression analysis," International Journal of Health Economics and Management, Springer, vol. 15(4), pages 387-406, December.
    9. Olivella, Pau & Vera-Hernandez, Marcos, 2007. "Competition among differentiated health plans under adverse selection," Journal of Health Economics, Elsevier, vol. 26(2), pages 233-250, March.
    10. Nitin Mehta & Jian Ni & Kannan Srinivasan & Baohong Sun, 2017. "A Dynamic Model of Health Insurance Choices and Healthcare Consumption Decisions," Marketing Science, INFORMS, vol. 36(3), pages 338-360, May.
    11. Svetlana Pashchenko & Ponpoje Porapakkarm, 2019. "Reducing Medical Spending of the Publicly Insured: The Case for a Cash-out Option," American Economic Journal: Economic Policy, American Economic Association, vol. 11(3), pages 390-426, August.
    12. Duarte, Fabian, 2012. "Price elasticity of expenditure across health care services," Journal of Health Economics, Elsevier, vol. 31(6), pages 824-841.
    13. Laura Rossouw, 2015. "Poor Health Reporting: Do Poor South Africans Underestimate Their Health Needs?," WIDER Working Paper Series wp-2015-027, World Institute for Development Economic Research (UNU-WIDER).
    14. Nur Kaynar & Auyon Siddiq, 2023. "Estimating Effects of Incentive Contracts in Online Labor Platforms," Management Science, INFORMS, vol. 69(4), pages 2106-2126, April.
    15. Sun, Huan & Wang, Haiyan & Steffensen, Sonja, 2022. "Mechanism design of multi-strategy health insurance plans under asymmetric information," Omega, Elsevier, vol. 107(C).
    16. Laura Rossouw, 2015. "Poor health reporting: Do poor South Africans underestimate their health needs?," WIDER Working Paper Series 027, World Institute for Development Economic Research (UNU-WIDER).
    17. Lee, Hangsuck & Ha, Hongjun & Lee, Minha, 2024. "A sharing rule for multi-period interest-sensitive insurance contracts," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
    18. Yan Zheng & Tomislav Vukina & Xiaoyong Zheng, 2019. "Estimating asymmetric information effects in health care with uninsurable costs," International Journal of Health Economics and Management, Springer, vol. 19(1), pages 79-98, March.

    More about this item

    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:rje:randje:v:34:y:2003:i:4:p:670-93. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: the person in charge (email available below). General contact details of provider: https://www.rje.org .

    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.