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The Impact of Insurance Fraud Detection Systems

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  • Jörg Schiller

Abstract

This article analyzes the impact of detection systems in an insurance fraud context. In a noncommitment Costly State Verification setting insurers can only detect fraudulent claims by performing costly audits, and policyholders are overcompensated by the optimal insurance contract. We show that auditing becomes more effective and overcompensation can be reduced, when insurers are able to condition their audits on the information provided by detection systems.

Suggested Citation

  • Jörg Schiller, 2006. "The Impact of Insurance Fraud Detection Systems," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 73(3), pages 421-438, September.
    • Handle: RePEc:bla:jrinsu:v:73:y:2006:i:3:p:421-438
    DOI: 10.1111/j.1539-6975.2006.00182.x
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    Cited by:

    1. 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.
    2. M. Martin Boyer & Richard Peter, 2020. "Insurance Fraud in a Rothschild–Stiglitz World," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(1), pages 117-142, March.
    3. M. Martin Boyer & Jörg Schiller, 2003. "Merging Automobile Insurance Regulatory Bodies: The Case of Atlantic Canada," CIRANO Working Papers 2003s-70, CIRANO.
    4. Chiharu Ishida & Woojung Chang & Steve Taylor, 2016. "Moral intensity, moral awareness and ethical predispositions: The case of insurance fraud," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 21(1), pages 4-18, March.
    5. Picard, Pierre, 2009. "Costly risk verification without commitment in competitive insurance markets," Games and Economic Behavior, Elsevier, vol. 66(2), pages 893-919, July.
    6. Suzanne H. Bijkerk & Vladimir A. Karamychev & Otto H. Swank, 2013. "Aggressive Reporting and Probabilistic Auditing in a Principles-Based Environment," Tinbergen Institute Discussion Papers 13-131/VII, Tinbergen Institute.
    7. Jill M. Bisco & Kathleen A. McCullough & Charles M. Nyce, 2019. "Postclaim Underwriting And The Verification Of Insured Information: Evidence From The Life Insurance Industry," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 86(1), pages 7-38, March.
    8. Kerstin Fiederling & Jörg Schiller & Frauke von Bieberstein, 2018. "Can we Trust Consumers’ Survey Answers when Dealing with Insurance Fraud?," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 70(2), pages 111-147, May.
    9. Bénédicte Coestier & Nathalie Fombaron, 2003. "L'audit en assurance," THEMA Working Papers 2003-41, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    10. Bernardino, Wilton & Ospina, Raydonal & Souza, Filipe Costa de & Rêgo, Leandro & Pereira, Felipe, 2021. "Risk curves: A methodology to evaluate the risk of fraud by stock price manipulation based on game theory and detection software," Journal of Economics and Business, Elsevier, vol. 113(C).
    11. Anthony Miyazaki, 2009. "Perceived Ethicality of Insurance Claim Fraud: Do Higher Deductibles Lead to Lower Ethical Standards?," Journal of Business Ethics, Springer, vol. 87(4), pages 589-598, July.
    12. Scalera Domenico & Zazzaro Alberto, 2007. "The Unpleasant Effects of Price Deregulation in the European Third-Party Motor Insurance Market: A Theoretical Framework," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 7(1), pages 1-30, October.
    13. Tajudeen Olalekan Yusuf, 2011. "Brokers' incentives and conflicts of interest in the control of opportunism," Journal of Risk Finance, Emerald Group Publishing, vol. 12(3), pages 168-181, May.
    14. Lu-Ming Tseng & Yue-Min Kang, 2015. "Managerial Authority, Turnover Intention and Medical Insurance Claims Adjusters’ Recommendations for Claim Payments," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 40(2), pages 334-352, April.
    15. Galeotti, Marcello & Rabitti, Giovanni & Vannucci, Emanuele, 2020. "An evolutionary approach to fraud management," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1167-1177.
    16. Schiller, Jörg, 2004. "Versicherungsbetrug als ökonomisches Problem: Eine vertragstheoretische Analyse," Working Papers on Risk and Insurance 13, University of Hamburg, Institute for Risk and Insurance.
    17. Farbmacher, Helmut & Löw, Leander & Spindler, Martin, 2022. "An explainable attention network for fraud detection in claims management," Journal of Econometrics, Elsevier, vol. 228(2), pages 244-258.
    18. Jing Ai & Patrick L. Brockett & Linda L. Golden & Montserrat Guillén, 2013. "A Robust Unsupervised Method for Fraud Rate Estimation," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 80(1), pages 121-143, March.
    19. Boyer, M. Martin & Schiller, Jörg, 2003. "Merging automobile regulatory bodies: The case of Atlantic Canada," Working Papers on Risk and Insurance 11, University of Hamburg, Institute for Risk and Insurance.
    20. Nell, Martin & Schiller, Jörg, 2002. "Erklärungsansätze für vertragswidriges Verhalten von Versicherungsnehmern aus Sicht der ökonomischen Theorie," Working Papers on Risk and Insurance 7, University of Hamburg, Institute for Risk and Insurance.
    21. Pierre Picard, 2012. "Economic Analysis of Insurance Fraud," Working Papers hal-00725561, HAL.

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    • D - Microeconomics
    • G - Financial Economics

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