[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/pen/papers/16-016.html
   My bibliography  Save this paper

Multidimensional Private Information, Market Structure and Insurance Markets

Author

Listed:
  • Hanming Fang

    (Department of Economics, University of Pennsylvania)

  • Zenan Wu

    (Department of Economics, Peking University)

Abstract
A large empirical literature found that the correlation between insurance purchase and ex post realization of risk is often statistically insignificant or negative. This is inconsistent with the predictions from the classic models of insurance a la Akerlof (1970), Pauly (1974) and Rothschild and Stiglitz (1976) where consumers have one-dimensional heterogeneity in their risk types. It is suggested that selection based on multidimensional private information, e.g., risk and risk preference types, may be able to explain the empirical findings. In this paper, we systematically investigate whether selection based on multidimensional private information in risk and risk preferences, can, under different market structures, result in a negative correlation in equilibrium between insurance coverage and ex post realization of risk. We show that if the insurance market is perfectly competitive, selection based on multidimensional private information does not result in negative correlation property in equilibrium, unless there is a sufficiently high loading factor. If the insurance market is monopolistic or imperfectly competitive, however, we show that it is possible to generate negative correlation property in equilibrium when risk and risk preference types are sufficiently negative dependent, a notion we formalize using the concept of copula. We also clarify the connections between some of the important concepts such as adverse/advantageous selection and positive/negative correlation property.

Suggested Citation

  • Hanming Fang & Zenan Wu, 2016. "Multidimensional Private Information, Market Structure and Insurance Markets," PIER Working Paper Archive 16-016, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 18 Oct 2016.
    • Handle: RePEc:pen:papers:16-016
    as

    Download full text from publisher

    File URL: https://economics.sas.upenn.edu/sites/default/files/filevault/SSRN_16016.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Puelz, Robert & Snow, Arthur, 1994. "Evidence on Adverse Selection: Equilibrium Signaling and Cross-Subsidization in the Insurance Market," Journal of Political Economy, University of Chicago Press, vol. 102(2), pages 236-257, April.
    2. 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.
    3. Amy Finkelstein & James Poterba, 2004. "Adverse Selection in Insurance Markets: Policyholder Evidence from the U.K. Annuity Market," Journal of Political Economy, University of Chicago Press, vol. 112(1), pages 183-208, February.
    4. Benjamin Lester & Ali Shourideh & Venky Venkateswaran & Ariel Zetlin-Jones, 2019. "Screening and Adverse Selection in Frictional Markets," Journal of Political Economy, University of Chicago Press, vol. 127(1), pages 338-377.
    5. 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.
    6. Hanming Fang & Michael P. Keane & Dan Silverman, 2008. "Sources of Advantageous Selection: Evidence from the Medigap Insurance Market," Journal of Political Economy, University of Chicago Press, vol. 116(2), pages 303-350, April.
    7. He, Daifeng, 2009. "The life insurance market: Asymmetric information revisited," Journal of Public Economics, Elsevier, vol. 93(9-10), pages 1090-1097, October.
    8. Georges Dionne & Christian Gourieroux & Charles Vanasse, 2001. "Testing for Evidence of Adverse Selection in the Automobile Insurance Market: A Comment," Journal of Political Economy, University of Chicago Press, vol. 109(2), pages 444-473, April.
    9. Raj Chetty & Amy Finkelstein, 2012. "Social Insurance: Connecting Theory to Data," NBER Working Papers 18433, National Bureau of Economic Research, Inc.
    10. 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.
    11. Mark V. Pauly, 1974. "Overinsurance and Public Provision of Insurance: The Roles of Moral Hazard and Adverse Selection," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 88(1), pages 44-62.
    12. Michael Rothschild & Joseph Stiglitz, 1976. "Equilibrium in Competitive Insurance Markets: An Essay on the Economics of Imperfect Information," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 90(4), pages 629-649.
    13. Tomas Philipson & John Cawley, 1999. "An Empirical Examination of Information Barriers to Trade in Insurance," American Economic Review, American Economic Association, vol. 89(4), pages 827-846, September.
    14. Alma Cohen, 2005. "Asymmetric Information and Learning: Evidence from the Automobile Insurance Market," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 197-207, May.
    15. Amy Finkelstein & Kathleen McGarry, 2006. "Multiple Dimensions of Private Information: Evidence from the Long-Term Care Insurance Market," American Economic Review, American Economic Association, vol. 96(4), pages 938-958, September.
    16. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    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. Levy, Yehuda John & Veiga, Andre, 2020. "On the existence of positive equilibrium profits in competitive screening markets," Games and Economic Behavior, Elsevier, vol. 124(C), pages 140-168.
    2. de Meza, David & Reito, Francesco & Reyniers, Diane, 2021. "Too much trade: The hidden problem of adverse selection," Journal of Public Economics, Elsevier, vol. 204(C).
    3. Roy McGee, 2023. "Adverse Selection Among Early Adopters and Unraveling Innovation," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 2022302, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    4. Hanming Fang & Ami Ko, 2018. "Partial Rating Area Offering in the ACA Marketplaces: Facts, Theory and Evidence," NBER Working Papers 25154, National Bureau of Economic Research, Inc.
    5. Heski Bar-Isaac & Ian Jewitt & Clare Leaver, 2021. "Adverse selection, efficiency and the structure of information," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 72(2), pages 579-614, September.
    6. Karlsson, Martin & Klohn, Florian & Rickayzen, Ben, 2018. "The role of heterogeneous parameters for the detection of selection in insurance contracts," Insurance: Mathematics and Economics, Elsevier, vol. 83(C), pages 110-121.
    7. Capatina, Elena, 2020. "Selection in employer sponsored health insurance," Journal of Health Economics, Elsevier, vol. 71(C).
    8. Daniel Bauer & Jochen Russ & Nan Zhu, 2020. "Asymmetric information in secondary insurance markets: Evidence from the life settlements market," Quantitative Economics, Econometric Society, vol. 11(3), pages 1143-1175, July.
    9. R. Anton Braun & Karen A. Kopecky & Tatyana Koreshkova, 2017. "Old, Frail, and Uninsured: Accounting for Puzzles in the U.S. Long-Term Care Insurance Market," FRB Atlanta Working Paper 2017-3, Federal Reserve Bank of Atlanta.
    10. 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.
    11. de Meza, David & Reito, Francesco & Reyniers, Diane, 2021. "Too much trade: A problem of adverse selection," MPRA Paper 107084, University Library of Munich, Germany.
    12. Casey Rothschild & Paul D. Thistle, 2022. "Supply, demand, and selection in insurance markets: Theory and applications in pictures," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 25(4), pages 419-444, December.
    13. Liran Einav & Amy Finkelstein, 2023. "Empirical analyses of selection and welfare in insurance markets: a self-indulgent survey," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 48(2), pages 167-191, September.

    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. Hanming Fang & Michael P. Keane & Dan Silverman, 2008. "Sources of Advantageous Selection: Evidence from the Medigap Insurance Market," Journal of Political Economy, University of Chicago Press, vol. 116(2), pages 303-350, April.
    2. Andrea Attar & Thomas Mariotti & François Salanié, 2022. "Regulating Insurance Markets: Multiple Contracting And Adverse Selection," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(3), pages 981-1020, August.
    3. Liran Einav & Amy Finkelstein & Jonathan Levin, 2010. "Beyond Testing: Empirical Models of Insurance Markets," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 311-336, September.
    4. Alois Geyer & Daniela Kremslehner & Alexander Muermann, 2020. "Asymmetric Information in Automobile Insurance: Evidence From Driving Behavior," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(4), pages 969-995, December.
    5. Dionne, Georges, 2012. "The empirical measure of information problems with emphasis on insurance fraud and dynamic data," Working Papers 12-10, HEC Montreal, Canada Research Chair in Risk Management.
    6. Daniel Bauer & Jochen Russ & Nan Zhu, 2020. "Asymmetric information in secondary insurance markets: Evidence from the life settlements market," Quantitative Economics, Econometric Society, vol. 11(3), pages 1143-1175, July.
    7. Kremslehner, Daniela & Muermann, Alexander, 2016. "Asymmetric information in automobile insurance: Evidence from driving behavior," CFS Working Paper Series 543, Center for Financial Studies (CFS).
    8. Feng Gao & Michael R. Powers & Jun Wang, 2017. "Decomposing Asymmetric Information in China's Automobile Insurance Market," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(4), pages 1269-1293, December.
    9. Andrea Attar & Thomas Mariotti & François Salanié, 2021. "Entry-Proofness and Discriminatory Pricing under Adverse Selection," American Economic Review, American Economic Association, vol. 111(8), pages 2623-2659, August.
    10. Raj Chetty & Amy Finkelstein, 2012. "Social Insurance: Connecting Theory to Data," NBER Working Papers 18433, National Bureau of Economic Research, Inc.
    11. Karl Ove Aarbu, 2017. "Asymmetric Information in the Home Insurance Market," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(1), pages 35-72, March.
    12. 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.
    13. Dionne, Georges & Fombaron, Nathalie & Doherty, Neil, 2012. "Adverse selection in insurance contracting," Working Papers 12-8, HEC Montreal, Canada Research Chair in Risk Management.
    14. Dardanoni, V & Li Donni, P, 2008. "Testing For Asymmetric Information In Insurance Markets With Unobservable Types," Health, Econometrics and Data Group (HEDG) Working Papers 08/26, HEDG, c/o Department of Economics, University of York.
    15. Ciprian MatiÅŸ & Eugenia MatiÅŸ, 2013. "Asymmetric Information In Insurance Field: Some General Considerations," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 1(15), pages 1-17.
    16. Huang, Rachel J. & Jeng, Vivian & Wang, Cheng-Wei & Yue, Jack C., 2021. "Does size and book-to-market contain intangible information about managerial incentives? Learning from corporate D&O insurance purchase," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    17. Martin Eling & Ruo Jia & Yi Yao, 2017. "Between-Group Adverse Selection: Evidence From Group Critical Illness Insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(2), pages 771-809, June.
    18. Hao Zheng & Yi Yao & Yinglu Deng & Feng Gao, 2022. "Information asymmetry, ex ante moral hazard, and uninsurable risk in liability coverage: Evidence from China's automobile insurance market," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(1), pages 131-160, March.
    19. Tomas J. Philipson & George Zanjani, 2013. "Economic Analysis of Risk and Uncertainty induced by Health Shocks: A Review and Extension," NBER Working Papers 19005, National Bureau of Economic Research, Inc.
    20. , & ,, 2012. "Optimal insurance with adverse selection," Theoretical Economics, Econometric Society, vol. 7(3), September.

    More about this item

    Keywords

    Asymmetric Information; Multidimensional Private Information; Adverse Selection; Advantageous Selection; Positive Correlation Property;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pen:papers:16-016. 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: Administrator (email available below). General contact details of provider: https://edirc.repec.org/data/deupaus.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.