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Optimal auditing with scoring: theory and application to insurance fraud

Citations

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Cited by:

  1. Konrad, Kai A. & Lohse, Tim & Qari, Salmai, 2014. "Deception choice and self-selection – The importance of being earnest," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 25-39.
  2. Hisashi Nakamura & Koichiro Takaoka, 2014. "A Continuous-Time Optimal Insurance Design with Costly Monitoring," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 21(3), pages 237-261, September.
  3. Jean-Marc Bourgeon & Pierre Picard, 2014. "Fraudulent Claims and Nitpicky Insurers," American Economic Review, American Economic Association, vol. 104(9), pages 2900-2917, September.
  4. Abe Dunn & Joshua D. Gottlieb & Adam Shapiro & Daniel J. Sonnenstuhl & Pietro Tebaldi, 2021. "A Denial a Day Keeps the Doctor Away," NBER Working Papers 29010, National Bureau of Economic Research, Inc.
  5. Lammers, Frauke & Schiller, Jörg, 2010. "Contract design and insurance fraud: An experimental investigation," FZID Discussion Papers 19-2010, University of Hohenheim, Center for Research on Innovation and Services (FZID).
  6. Dionne, Georges & Harrington, Scott, 2017. "Insurance and Insurance Markets," Working Papers 17-2, HEC Montreal, Canada Research Chair in Risk Management.
  7. Reda Aboutajdine & Pierre Picard, 2018. "Preliminary Investigations for Better Monitoring: Learning in Repeated Insurance Audits," Risks, MDPI, vol. 6(1), pages 1-22, February.
  8. Georges Dionne & Kili Wang, 2013. "Does insurance fraud in automobile theft insurance fluctuate with the business cycle?," Journal of Risk and Uncertainty, Springer, vol. 47(1), pages 67-92, August.
  9. Chu-Shiu Li & Chwen-Chi Liu & Sheng-Chang Peng, 2013. "Expiration Dates in Automobile Insurance Contracts: The Curious Case of Last Policy Month Claims in Taiwan," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 38(1), pages 23-47, March.
  10. Véronique Van Vlasselaer & Tina Eliassi-Rad & Leman Akoglu & Monique Snoeck & Bart Baesens, 2017. "GOTCHA! Network-Based Fraud Detection for Social Security Fraud," Management Science, INFORMS, vol. 63(9), pages 3090-3110, September.
  11. Pierre Picard & Jennifer Wang & Kili Wang, 2019. "Collusion between Retailers and Customers: The Case of Insurance Fraud in Taiwan," Working Papers hal-02045335, HAL.
  12. Dominic Spengler, 2012. "Endogenising Detection in an Asymmetric Penalties Corruption Game," Discussion Papers 12/20, Department of Economics, University of York.
  13. Chamal Gomes & Zhuo Jin & Hailiang Yang, 2021. "Insurance fraud detection with unsupervised deep learning," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(3), pages 591-624, September.
  14. Pierre Picard, 2012. "Economic Analysis of Insurance Fraud," Working Papers hal-00725561, HAL.
  15. Lina Bouayad & Balaji Padmanabhan & Kaushal Chari, 2019. "Audit Policies Under the Sentinel Effect: Deterrence-Driven Algorithms," Information Systems Research, INFORMS, vol. 30(2), pages 466-485, June.
  16. Yankol-Schalck, Meryem, 2022. "The value of cross-data set analysis for automobile insurance fraud detection," Research in International Business and Finance, Elsevier, vol. 63(C).
  17. Georges Dionne, 2012. "The Empirical Measure of Information Problems with Emphasis on Insurance Fraud and Dynamic Data," Cahiers de recherche 1233, CIRPEE.
  18. 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.
  19. Frauke von Bieberstein & Jörg Schiller, 2018. "Contract design and insurance fraud: an experimental investigation," Review of Managerial Science, Springer, vol. 12(3), pages 711-736, July.
  20. 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.
  21. Höppner, Sebastiaan & Baesens, Bart & Verbeke, Wouter & Verdonck, Tim, 2022. "Instance-dependent cost-sensitive learning for detecting transfer fraud," European Journal of Operational Research, Elsevier, vol. 297(1), pages 291-300.
  22. John Bone & Dominic Spengler, 2014. "Does Reporting Decrease Corruption?," Journal of Interdisciplinary Economics, , vol. 26(1-2), pages 161-186, January.
  23. Spengler Dominic, 2014. "Endogenous Detection of Collaborative Crime: The Case of Corruption," Review of Law & Economics, De Gruyter, vol. 10(2), pages 1-17, July.
  24. Dionne, Georges & Wang, Kili, 2011. "Does opportunistic fraud in automobile theft insurance fluctuate with the business cycle?," Working Papers 11-4, HEC Montreal, Canada Research Chair in Risk Management.
  25. Lang, Matthias & Wambach, Achim, 2013. "The fog of fraud – Mitigating fraud by strategic ambiguity," Games and Economic Behavior, Elsevier, vol. 81(C), pages 255-275.
  26. 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.
  27. Appelgren, Leif, 2020. "A survey of models for determining optimal audit strategies," Advances in accounting, Elsevier, vol. 48(C).
  28. Nicola Gennaioli & Rafael La Porta & Florencio Lopez-de-Silanes & Andrei Shleifer, 2022. "Trust and Insurance Contracts," The Review of Financial Studies, Society for Financial Studies, vol. 35(12), pages 5287-5333.
  29. Danielle E. Warren & Maurice E. Schweitzer, 2018. "When Lying Does Not Pay: How Experts Detect Insurance Fraud," Journal of Business Ethics, Springer, vol. 150(3), pages 711-726, July.
  30. John E. Murray, 2011. "Asymmetric Information and Countermeasures in Early Twentieth‐Century American Short‐Term Disability Microinsurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 78(1), pages 117-138, March.
  31. Mahito Okura, 2013. "The relationship between moral hazard and insurance fraud," Journal of Risk Finance, Emerald Group Publishing, vol. 14(2), pages 120-128, February.
  32. 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.
  33. Meerza, Syed Imran Ali & Giannakas, Konstantinos & Yiannaka, Amalia, 2019. "Markets and welfare effects of food fraud," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(4), October.
  34. Laitinen, Erkki K. & Laitinen, Teija, 2015. "A probability tree model of audit quality," European Journal of Operational Research, Elsevier, vol. 243(2), pages 665-677.
  35. Tino Werner, 2022. "Elicitability of Instance and Object Ranking," Decision Analysis, INFORMS, vol. 19(2), pages 123-140, June.
  36. Katja Müller & Hato Schmeiser & Joël Wagner, 2016. "The impact of auditing strategies on insurers’ profitability," Journal of Risk Finance, Emerald Group Publishing, vol. 17(1), pages 46-79, January.
  37. Lohse, Tim & Konrad, Kai A. & Qari, Salmai, 2014. "Deception Choice and Audit Design - The Importance of Being Earnest," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100577, Verein für Socialpolitik / German Economic Association.
  38. Michael Ludkovski & Virginia R. Young, 2010. "Ex Post Moral Hazard and Bayesian Learning in Insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 77(4), pages 829-856, December.
  39. Samohyl, Robert, 2012. "Audits and logistic regression, deciding what really matters in service processes: a case study of a government funding agency for research grants," MPRA Paper 41557, University Library of Munich, Germany.
  40. Tajudeen Olalekan Yusuf & Sunday Stephen Ajemunigbohun & Gbenga Noah Alli, 2017. "A Critical Review of Insurance Claims Management: A Study of Selected Insurance Companies in Nigeria," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 67(2), pages 69-84, April-Jun.
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