IDEAS home Printed from https://ideas.repec.org/a/bla/deveco/v48y2010i1p74-101.html
   My bibliography  Save this article

Why Is The Take‐Up Of Microinsurance So Low? Evidence From A Health Insurance Scheme In India

Author

Listed:
  • Seiro ITO
  • Hisaki KONO

Abstract

Insurance for the poor, called microinsurance, has recently drawn the attention of practitioners in developing countries. There are common problems among the various schemes: (1) low take‐up rates, (2) high claim rates, and (3) low renewal rates. In the present paper, we investigate take‐up decisions using household data collected in Karnataka, India, focusing on prospect theory, hyperbolic preference, and adverse selection. Prospect theory presumes that people behave in a risk‐averse way when evaluating gains but in a risk‐loving way when evaluating losses. Because insurance covers losses, the risk‐loving attitude toward losses might explain the low take‐up rates, and we find weak empirical support for this. Households with hyperbolic preference were more likely to purchase insurance, consistent with our theoretical prediction of demand for commitment. We also find some evidence on the existence of adverse selection: households with a higher ratio of sick members were more likely to purchase insurance.

Suggested Citation

  • Seiro ITO & Hisaki KONO, 2010. "Why Is The Take‐Up Of Microinsurance So Low? Evidence From A Health Insurance Scheme In India," The Developing Economies, Institute of Developing Economies, vol. 48(1), pages 74-101, March.
  • Handle: RePEc:bla:deveco:v:48:y:2010:i:1:p:74-101
    DOI: 10.1111/j.1746-1049.2010.00099.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1746-1049.2010.00099.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1746-1049.2010.00099.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Orazio P. Attanasio & Pinelopi Koujianou Goldberg & Ekaterini Kyriazidou, 2008. "Credit Constraints In The Market For Consumer Durables: Evidence From Micro Data On Car Loans," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 49(2), pages 401-436, May.
    2. Pierre‐André Chiappori & Bruno Jullien & Bernard Salanié & François Salanié, 2006. "Asymmetric information in insurance: general testable implications," RAND Journal of Economics, RAND Corporation, vol. 37(4), pages 783-798, December.
    3. David M. Cutler & Amy Finkelstein & Kathleen McGarry, 2008. "Preference Heterogeneity and Insurance Markets: Explaining a Puzzle of Insurance," American Economic Review, American Economic Association, vol. 98(2), pages 157-162, May.
    4. Milton Friedman & L. J. Savage, 1948. "The Utility Analysis of Choices Involving Risk," Journal of Political Economy, University of Chicago Press, vol. 56(4), pages 279-279.
    5. 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.
    6. Pierre André Chiappori & Bernard Salanié, 2002. "Testing Contract Theory: A Survey of Some Recent Work," CESifo Working Paper Series 738, CESifo.
    7. David K. Levine & Drew Fudenberg, 2006. "A Dual-Self Model of Impulse Control," American Economic Review, American Economic Association, vol. 96(5), pages 1449-1476, December.
    8. Michal Bauer & Julie Chytilova & Jonathan Morduch, 2012. "Behavioral Foundations of Microcredit: Experimental and Survey Evidence from Rural India," American Economic Review, American Economic Association, vol. 102(2), pages 1118-1139, April.
    9. Pierre‐André Chiappori & Bruno Jullien & Bernard Salanié & François Salanié, 2006. "Asymmetric information in insurance: general testable implications," RAND Journal of Economics, The RAND Corporation, vol. 37(4), pages 783-798, December.
    10. Nava Ashraf & Dean Karlan & Wesley Yin, 2006. "Tying Odysseus to the Mast: Evidence From a Commitment Savings Product in the Philippines," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(2), pages 635-672.
    11. Jaap H. Abbring & Pierre-André Chiappori & Jean Pinquet, 2003. "Moral Hazard and Dynamic Insurance Data," Journal of the European Economic Association, MIT Press, vol. 1(4), pages 767-820, June.
    12. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    13. Faruk Gul & Wolfgang Pesendorfer, 2001. "Temptation and Self-Control," Econometrica, Econometric Society, vol. 69(6), pages 1403-1435, November.
    14. Faruk Gul & Wolfgang Pesendorfer, 2004. "Self-Control and the Theory of Consumption," Econometrica, Econometric Society, vol. 72(1), pages 119-158, January.
    15. David Laibson, 1997. "Golden Eggs and Hyperbolic Discounting," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 443-478.
    16. 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.
    17. Drazen Prelec, 1998. "The Probability Weighting Function," Econometrica, Econometric Society, vol. 66(3), pages 497-528, May.
    18. 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.
    Full references (including those not matched with items on IDEAS)

    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. Raj Chetty & Amy Finkelstein, 2012. "Social Insurance: Connecting Theory to Data," NBER Working Papers 18433, National Bureau of Economic Research, Inc.
    2. 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.
    3. 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.
    4. Daniel McFadden & Carlos Noton & Pau Olivella, "undated". "Remedies for Sick Insurance," Working Papers 620, Barcelona School of Economics.
    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. 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. Gunnsteinsson, Snaebjorn, 2020. "Experimental identification of asymmetric information: Evidence on crop insurance in the Philippines," Journal of Development Economics, Elsevier, vol. 144(C).
    8. 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.
    9. Bisin, Alberto & Hyndman, Kyle, 2020. "Present-bias, procrastination and deadlines in a field experiment," Games and Economic Behavior, Elsevier, vol. 119(C), pages 339-357.
    10. Johannes Spinnewijn, 2017. "Heterogeneity, Demand for Insurance, and Adverse Selection," American Economic Journal: Economic Policy, American Economic Association, vol. 9(1), pages 308-343, February.
    11. 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.
    12. Liran Einav & Amy Finkelstein & Paul Schrimpf, 2007. "The Welfare Cost of Asymmetric Information: Evidence from the U.K. Annuity Market," NBER Working Papers 13228, National Bureau of Economic Research, Inc.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. Alexander Groves, 2013. "Identifying What is tempting," Working Papers ECARES 2013-41, ULB -- Universite Libre de Bruxelles.
    18. Emanuele Millemaci & Robert J. Waldmann, 2016. "Present-Biased Preferences and Money Demand," De Economist, Springer, vol. 164(2), pages 187-207, June.
    19. Kiil, Astrid, 2012. "Private health insurance and the use of health care services - a review of the theoretical literature with application to voluntary private health insurance in universal health care systems," DaCHE discussion papers 2012:1, University of Southern Denmark, Dache - Danish Centre for Health Economics.
    20. Georges Dionne, 2012. "The Empirical Measure of Information Problems with Emphasis on Insurance Fraud and Dynamic Data," Cahiers de recherche 1233, CIRPEE.

    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:bla:deveco:v:48:y:2010:i:1:p:74-101. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/idegvjp.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.