IDEAS home Printed from https://ideas.repec.org/a/eee/insuma/v66y2016icp11-21.html
   My bibliography  Save this article

Competitive insurance pricing with complete information, loss-averse utility and finitely many policies

Author

Listed:
  • Jost, Peter-J.

Abstract

In a recent paper, Ramsay and Oguledo (2012) show that in a competitive insurance market with complete information about individuals’ accident probabilities and production costs, which are proportional to the amount of insurance purchased and to the premium charged, only individuals whose accident probability is in a medium range are insurable and desire insurance. The purpose of this paper is to complement the analysis of Ramsay and Oguledo by considering production costs which are proportional to the number of policies offered by an insurer. In addition to the result of Ramsay and Oguledo we show that the group of individuals who obtain insurance is partitioned into several subgroups, where each subgroup is offered the same insurance policy. To derive this result we introduce the concept of incentive compatibility which ensures that an individual has no incentive to buy another policy. Assuming that individuals have loss-averse utility, we fully characterize the boundaries of these subgroups as the result of an undercutting process in premiums between the insurers.

Suggested Citation

  • Jost, Peter-J., 2016. "Competitive insurance pricing with complete information, loss-averse utility and finitely many policies," Insurance: Mathematics and Economics, Elsevier, vol. 66(C), pages 11-21.
  • Handle: RePEc:eee:insuma:v:66:y:2016:i:c:p:11-21
    DOI: 10.1016/j.insmatheco.2015.09.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167668715001511
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.insmatheco.2015.09.009?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Oz Shy & Rune Stenbacka, 2004. "Market Structure and Risk Taking in the Banking Industry," Journal of Economics, Springer, vol. 82(3), pages 249-280, July.
    2. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    3. Botond Kőszegi & Paul Heidhues, 2008. "Competition and Price Variation When Consumers Are Loss Averse," American Economic Review, American Economic Association, vol. 98(4), pages 1245-1268, September.
    4. Bosch-Domènech, Antoni & Silvestre, Joaquim, 2010. "Averting risk in the face of large losses: Bernoulli vs. Tversky and Kahneman," Economics Letters, Elsevier, vol. 107(2), pages 180-182, May.
    5. Kunreuther,Howard C. & Pauly,Mark V. & McMorrow,Stacey, 2013. "Insurance and Behavioral Economics," Cambridge Books, Cambridge University Press, number 9780521845724, September.
    6. Joseph E. Stiglitz, 1977. "Monopoly, Non-linear Pricing and Imperfect Information: The Insurance Market," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 44(3), pages 407-430.
    7. Botond Koszegi & Matthew Rabin, 2007. "Reference-Dependent Risk Attitudes," American Economic Review, American Economic Association, vol. 97(4), pages 1047-1073, September.
    8. Guo, Wenjing, 2014. "Optimal portfolio choice for an insurer with loss aversion," Insurance: Mathematics and Economics, Elsevier, vol. 58(C), pages 217-222.
    9. Kunreuther, Howard & Pauly, Mark, 2006. "Insurance Decision-Making and Market Behavior," Foundations and Trends(R) in Microeconomics, now publishers, vol. 1(2), pages 63-127, April.
    10. Kunreuther,Howard C. & Pauly,Mark V. & McMorrow,Stacey, 2013. "Insurance and Behavioral Economics," Cambridge Books, Cambridge University Press, number 9780521608268, September.
    11. Gupta, Aparna & Li, Lepeng, 2007. "Integrating long-term care insurance purchase decisions with saving and investment for retirement," Insurance: Mathematics and Economics, Elsevier, vol. 41(3), pages 362-381, November.
    12. Ramsay, Colin M. & Oguledo, Victor I., 2012. "Insurance pricing with complete information, state-dependent utility, and production costs," Insurance: Mathematics and Economics, Elsevier, vol. 50(3), pages 462-469.
    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. Torraca, Ana Patrícia & Fanzeres, Bruno, 2021. "Optimal insurance contract specification in the upstream sector of the oil and gas industry," European Journal of Operational Research, Elsevier, vol. 295(2), pages 718-732.

    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. Zheng, Jiakun, 2020. "Optimal insurance design under narrow framing," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 596-607.
    2. Karle, Heiko & Schumacher, Heiner & Vølund, Rune, 2023. "Consumer loss aversion and scale-dependent psychological switching costs," Games and Economic Behavior, Elsevier, vol. 138(C), pages 214-237.
    3. Yan, Jubo & Kniffin, Kevin M. & Kunreuther, Howard C. & Schulze, William D., 2020. "The roles of reason and emotion in private and public responses to terrorism," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 778-796.
    4. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2013. "Salience and Consumer Choice," Journal of Political Economy, University of Chicago Press, vol. 121(5), pages 803-843.
    5. Heiko Karle & Heiner Schumacher & Rune Vølund, 2020. "Consumer search and the uncertainty effect," Working Papers of Department of Economics, Leuven 657766, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    6. Che, Yuyuan & Feng, Hongli & Hennessy, David A., 2017. "The Geography and Psychology of Participation in U.S. Federal Crop Insurance Programs," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259190, Agricultural and Applied Economics Association.
    7. Aurélien Baillon & Han Bleichrodt & Vitalie Spinu, 2020. "Searching for the Reference Point," Management Science, INFORMS, vol. 66(1), pages 93-112, January.
    8. Meisner, Vincent & von Wangenheim, Jonas, 2023. "Loss aversion in strategy-proof school-choice mechanisms," Journal of Economic Theory, Elsevier, vol. 207(C).
    9. Wenhui Zhou & Dongmei Wang & Weixiang Huang & Pengfei Guo, 2021. "To Pool or Not to Pool? The Effect of Loss Aversion on Queue Configurations," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 4258-4272, November.
    10. Piccolo, Salvatore & Pignataro, Aldo, 2018. "Consumer loss aversion, product experimentation and tacit collusion," International Journal of Industrial Organization, Elsevier, vol. 56(C), pages 49-77.
    11. Daniel Gottlieb & Olivia S. Mitchell, 2020. "Narrow Framing and Long‐Term Care Insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(4), pages 861-893, December.
    12. Vincent Meisner & Jonas von Wangenheim, 2022. "Loss aversion in strategy-proof school-choice mechanisms," Papers 2207.14666, arXiv.org.
    13. Pedro Brandão Graminha & Luís Eduardo Afonso, 2022. "Behavioral Economics and Auto Insurance: The Role of Biases and Heuristics," RAC - Revista de Administração Contemporânea (Journal of Contemporary Administration), ANPAD - Associação Nacional de Pós-Graduação e Pesquisa em Administração, vol. 26(5), pages 200421-2004.
    14. Hongli Feng & Xiaodong Du & David A. Hennessy, 2020. "Depressed demand for crop insurance contracts, and a rationale based on third generation Prospect Theory," Agricultural Economics, International Association of Agricultural Economists, vol. 51(1), pages 59-73, January.
    15. Feess, Eberhard & Sarel, Roee, 2022. "Optimal fine reductions for self-reporting: The impact of loss aversion," International Review of Law and Economics, Elsevier, vol. 70(C).
    16. Hwang, In Do, 2024. "Behavioral aspects of household portfolio choice: Effects of loss aversion on life insurance uptake and savings," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 1029-1053.
    17. Andrew Royal & Margaret Walls, 2019. "Flood Risk Perceptions and Insurance Choice: Do Decisions in the Floodplain Reflect Overoptimism?," Risk Analysis, John Wiley & Sons, vol. 39(5), pages 1088-1104, May.
    18. Meisner, Vincent & von Wangenheim, Jonas, 2019. "School Choice and Loss Aversion," Rationality and Competition Discussion Paper Series 208, CRC TRR 190 Rationality and Competition.
    19. repec:cup:judgdm:v:10:y:2015:i:4:p:365-385 is not listed on IDEAS
    20. Robin Chark & Vincent Mak & A. V. Muthukrishnan, 2020. "The premium as informational cue in insurance decision making," Theory and Decision, Springer, vol. 88(3), pages 369-404, April.
    21. Chen, Zheng & Li, Zhongfei & Zeng, Yan & Sun, Jingyun, 2017. "Asset allocation under loss aversion and minimum performance constraint in a DC pension plan with inflation risk," Insurance: Mathematics and Economics, Elsevier, vol. 75(C), pages 137-150.

    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:eee:insuma:v:66:y:2016:i:c:p:11-21. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/505554 .

    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.