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Optimal Auditing for Insurance Fraud

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  • Georges Dionne
  • Florence Giuliano
  • Pierre Picard

Abstract

This article aims at making a bridge between the theory of optimal auditing and current procedures applied to audit files in different markets where scoring is the instrument used to implement an audit strategy. The literature has not yet developed an optimal audit policy for the scoring methodology. Our application is meant for the audit of insurance fraud but can be applied to many other activities that use the scoring approach. On the theoretical side, we show that the optimal auditing strategy takes the form of a "Red Flags Strategy" which consists in referring claims to a Special Investigation Unit (SIU) when certain fraud indicators are observed. Fraud indicators are classified based on the degree to which they reveal an increasing probability of fraud and this strategy remains optimal if the investigation policy is budget constrained. Moreover, the auditing policy acts as a deterrence device. On the empirical side, four significant results are obtained with data from a large European insurance company. First, we are able to compute a critical suspicion index for fraud, providing a threshold above which all claims must be audited. Secondly, we obtain that if the insur applies this policy, he will save more than euro22 milllion, which represents 43% of the current cost of fraudulent claims. Thirdly, we show that it is possible to improve these results by using information capable of isolating different groups of insureds with different morale costs of fraud. Finally, our results indicate how the deterrence effect of the audit scheme can be taken into account and how it affects the optimal auditing strategy.

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Bibliographic Info

Paper provided by CIRPEE in its series Cahiers de recherche with number 0329.

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Date of creation: 2003
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Handle: RePEc:lvl:lacicr:0329

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Related research

Keywords: Optimal audit; scoring methodology; insurance fraud; red flags strategy; fraud indicators; suspicion index; morale cost of fraud;

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References

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  1. G. Dionne, 2000. "The Empirical Measure of Information Problems with Emphasis on Insurance Fraud," THEMA Working Papers 2000-20, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
  2. Georges Dionne & Robert Gagné, 2001. "Deductible Contracts Against Fraudulent Claims: Evidence From Automobile Insurance," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 290-301, May.
  3. Graetz, Michael J. & Reinganum, Jennifer F. & Wilde, Louis L., . "The Tax Compliance Game: Toward an Interactive Theory of Law Enforcement," Working Papers 589, California Institute of Technology, Division of the Humanities and Social Sciences.
  4. Picard, Pierre, 2000. "On the Design of Optimal Insurance Policies under Manipulation of Audit Cost," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 41(4), pages 1049-71, November.
  5. El Bachir Belhadji & George Dionne & Faouzi Tarkhani, 2000. "A Model for the Detection of Insurance Fraud*," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan, vol. 25(4), pages 517-538, October.
  6. Pierre-André Chiappori & Bernard Salanié, 2002. "Testing Contract Theory : A Survey of Some Recent Work," Working Papers 2002-11, Centre de Recherche en Economie et Statistique.
  7. G. Dionne & R. Gagné, 2000. "Replacement Cost Endorsement and Opportunistic Fraud in Automobile Insurance," THEMA Working Papers 2000-06, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
  8. Townsend, Robert M., 1988. "Information constrained insurance : The revelation principle extended," Journal of Monetary Economics, Elsevier, vol. 21(2-3), pages 411-450.
  9. Robert Townsend, 1979. "Optimal contracts and competitive markets with costly state verification," Staff Report 45, Federal Reserve Bank of Minneapolis.
  10. Gale, Douglas & Hellwig, Martin, 1985. "Incentive-Compatible Debt Contracts: The One-Period Problem," Review of Economic Studies, Wiley Blackwell, vol. 52(4), pages 647-63, October.
  11. Montserrat Guillen & Manuel Artis, 1994. "Count Data Models For A Credit Scoring System," Risk and Insurance 9407004, EconWPA.
  12. Crocker, Keith J & Tennyson, Sharon, 2002. "Insurance Fraud and Optimal Claims Settlement Strategies," Journal of Law and Economics, University of Chicago Press, vol. 45(2), pages 469-507, October.
  13. Picard, Pierre, 1996. "Auditing claims in the insurance market with fraud: The credibility issue," Journal of Public Economics, Elsevier, vol. 63(1), pages 27-56, December.
  14. Kofman, Fred & Lawarree, Jacques, 1993. "Collusion in Hierarchical Agency," Econometrica, Econometric Society, vol. 61(3), pages 629-56, May.
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Citations

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Cited by:
  1. 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.
  2. Jean Pinquet & Mercedes Ayuso & Montserrat Guillén, 2007. "Selection Bias and Auditing Policies for Insurance Claims," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 74(2), pages 425-440.
  3. 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.
  4. M. Martin Boyer & Jörg Schiller, 2003. "Merging Automobile Insurance Regulatory Bodies: The Case of Atlantic Canada," CIRANO Working Papers 2003s-70, CIRANO.
  5. Bénédicte Coestier & Nathalie Fombaron, 2003. "L'audit en assurance," THEMA Working Papers 2003-41, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
  6. William Lesch & Johannes Brinkmann, 2011. "Consumer Insurance Fraud/Abuse as Co-creation and Co-responsibility: A New Paradigm," Journal of Business Ethics, Springer, vol. 103(1), pages 17-32, April.
  7. 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.
  8. Viaene, Stijn & Ayuso, Mercedes & Guillen, Montserrat & Van Gheel, Dirk & Dedene, Guido, 2007. "Strategies for detecting fraudulent claims in the automobile insurance industry," European Journal of Operational Research, Elsevier, vol. 176(1), pages 565-583, January.

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