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Empirical evidence on the use of credit scoring for predicting insurance losses with psycho-social and biochemical explanations. (English) Zbl 1414.91195

Summary: An important development in personal lines of insurance in the United States is the use of credit history data for insurance risk classification to predict losses. This research presents the results of collaboration with industry conducted by a university at the request of its state legislature. The purpose was to see the viability and validity of the use of credit scoring to predict insurance losses given its controversial nature and criticism as redundant of other predictive variables currently used. Working with industry and government, this study analyzed more than \(175,000\) policyholders’ information for the relationship between credit score and claims. Credit scores were significantly related to incurred losses, evidencing both statistical and practical significance. We investigate whether the revealed relationship between credit score and incurred losses was explainable by overlap with existing underwriting variables or whether the credit score adds new information about losses not contained in existing underwriting variables. The results show that credit scores contain significant information not already incorporated into other traditional rating variables (e.g., age, sex, driving history). We discuss how sensation seeking and self-control theory provide a partial explanation of why credit scoring works (the psycho-social perspective). This article also presents an overview of biological and chemical correlates of risk taking that helps explain why knowing risk-taking behavior in one realm (e.g., risky financial behavior and poor credit history) transits to predicting risk-taking behavior in other realms (e.g., automobile insurance incurred losses). Additional research is needed to advance new nontraditional loss prediction variables from social media consumer information to using information provided by technological advances. The evolving and dynamic nature of the insurance marketplace makes it imperative that professionals continue to evolve predictive variables and for academics to assist with understanding the whys of the relationships through theory development.

MSC:

91B30 Risk theory, insurance (MSC2010)
91G40 Credit risk
62P05 Applications of statistics to actuarial sciences and financial mathematics
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[1] Ai, J.; Zhao, L.; Zhu, W., Equilibrium and Welfare in Insurance Markets with Time-Inconsistent Consumers, American Risk and Insurance Association Annual Meeting., (2013)
[2] Aluja, A.; Torrubia, R., Hostility-Aggressiveness, Sensation Seeking, and Sex Hormones in Men: Re-exploring Their Relationship, Neuropsychobiology, 50, 102-107, (2004)
[3] Antelman, S. M.; Caggiula, A. R., Norepinephrine-Dopamine Interactions and Behavior, Science, 195, 4279, 646-653, (1977)
[4] Bair, S.-T.; Huang, R. J.; Wang, K. C., Can Vehicle Maintenance Records Predict Automobile Accident?, Journal of Risk and Insurance, 79, 567-584, (2012)
[5] Bauer, I.; Baumeister, R.; Voh, K.; Baumeister, Ch. 4, pp. 64–82, R., Self-regulatory Strength, Handbook of Self-regulation: Research, Theory, and Applications, (2011), New York: Guilford Press, New York
[6] Beattie, C.; Fitzgerald, M., Using Social Data in Claims and Underwriting. Celent Industry Trends Report, (2011)
[7] Benjamin, J.; Li, Lin; Patterson, C.; Greenberg, B. D.; Murphy, D. L.; Hamer, D. H., Population and Familial Association between the D4 Dopamine Receptor Gene and Measures of Novelty Seeking, Nature Genetics, 12, 81-84, (1996)
[8] Gallup Poll Risk, Best Review (Property/Casualty Ed.), 91, 11, 12, (1991)
[9] Black, K. Jr.; Skipper, H. D. Jr, Life and Health Insurance. 13th ed, (2000), Upper Saddle River, NJ: Prentice Hall, Upper Saddle River, NJ
[10] Booth, A.; Johnson, D. R.; Granger, D. A., Testosterone and Men’s Depression: The Role of Social Behavior, Journal of Health and Social Behavior, 40, 2, 130-140, (1999)
[11] Brockett, P. L.; Golden, L. L., Biological and Psychobehavorial Correlates of Credit Scores and Automobile Insurance Losses: Towards an Explication of Why Credit Scoring Works, Journal of Risk and Insurance, 74, 1, 23-63, (2007)
[12] Brown, J. M.; Miller, W. R.; Lawendowski, L. A.; VandeCreek, L.; Jackson, T. L., The Self-regulation Questionnaire, Innovations in Clinical Practice: A Source Book, 281-289, (1999), Sarasota, FL: Professional Resource Press, Sarasota, FL
[13] Caspi, A.; Begg, D.; Dickson, N.; Harrington, H. L.; Langley, J.; Moffitt, T. E.; Silva, P. A., Personality Differences Predict Health-Risk Behaviors in Young Adulthood: Evidence from a Longitudinal Study, Journal of Personality and Social Psychology, 73, 5, 1052-1063, (1997)
[14] Celsi, R. L.; Rose, R. L.; Leigh, T. W., An Exploration of High-Risk Leisure Consumption through Skydiving, Journal of Consumer Research, 20, 1, 1-23, (1993)
[15] Cestac, J.; Paran, F.; Delhomme, P., Young Drivers’ Sensation Seeking, Subjective Norms, and Perceived Behavioral Control and Their Roles in Predicting Speeding Intention: How Risk-Taking Motivations Evolve with Gender and Driving Experience, Safety Science, 49, 3, 424-432, (2011)
[16] Cloninger, C. R., A Systematic Method for Clinical Description and Classification of Personality Variants, Archives of General Psychiatry, 44, 573-588, (1987)
[17] Dabbs, J. M. Jr., Testosterone and Occupational Achievement, Social Forces, 70, 3, 813-824, (1992)
[18] Dabbs, J. M.; Morris, R., Testosterone, Social Class, and Antisocial Behavior in a Sample of 4,462 Men, Psychological Science, 1, 3, 209-211, (1990)
[19] Depue, R. A.; Collins, P. F., Neurobiology of the Structure of Personality: Dopamine, Facilitation of Incentive Motivation, and Extraversion, Behavioral and Brain Sciences, 22, 491-569, (1999)
[20] Dokko, J.; Li, Geng; Hayes, J., Credit Scores and Committed Relationships, Finance and Economics Discussion Series 2015-081, (2015), Washington, DC: Board of Governors of the Federal Reserve System, Washington, DC
[21] Donohew, L.; Bardo, M., Designing Prevention Programs for Sensation Seeking Adolescents
[22] Dunlop, S. M.; Romer, D., Adolescent and Young Adult Crash Risk: Sensation Seeking, Substance Use Propensity and Substance Use Behaviors, Journal of Adolescent Health, 46, 1, 90-92, (2010)
[23] Credit-Based Insurance Scores: Impacts on Consumers of Automobile Insurance, (2007)
[24] Ferreira, J. Jr.; Minikel, E., Pay-as-You-Drive Auto Insurance in Massachusetts: A Risk Assessment and Report on Consumer, Industry, and Environmental Benefits, (2010)
[25] Fischer, S.; Smith, G. T., Deliberation Affects Risk Taking beyond Sensation Seeking, Personality and Individual Differences, 36, 527-537, (2004)
[26] Fulker, D. W.; Eysenck, S. B. G.; Zuckerman, M., A Genetic and Environmental Analysis of Sensation Seeking, Journal of Research in Personality, 14, 261-281, (1980)
[27] Gerra, G.; Avanzini, P.; Zaimovic, A.; Sartori, R.; Bocchi, C.; Timpano, M.; Zambelli, U.; Desiignore, R.; Gardini, F.; Talarico, E.; Brambilla, F., Neurotransmitters, Neuroendocrine Correlates of Sensation-Seeking Temperament in Normal Humans, Biological Psychology/Pharmacopsychology, 39, 207-213, (1999)
[28] Golden, L. L.; Cooper, W. W.; Brockett, P. L., Application Driven Theory: Rigorously Combining Applied and Basic Research Relevant to Accounting and Marketing, Journal of Accounting and Marketing, 1, 1, 1-2, (2012)
[29] Grinblatt, M.; Keloharju, M., Sensation Seeking, Overconfidence, and Trading Activity, Journal of Finance, 64, 2, 549-578, (2009)
[30] Hansenne, M.; Ansseau, M., Harm Avoidance and Serotonin, Biological Psychology, 51, 77-81, (1999)
[31] Harlow, W. V.; Brown, K. C., The Role of Risk Tolerance in the Asset Allocation Process: A New Perspective, (1990), Charlottesville, VA: Research Foundation of the Institute of Chartered Financial Analysts
[32] Harlow, W. V.; Brown, K. C., Understanding and Assessing Financial Risk Tolerance: A Biological Perspective, Financial Analysts Journal, 50-62, (1990)
[33] Harris, C.; Jenkins, M.; Glaser, D., Gender Differences in Risk Assessment: Why Do Women Take Fewer Risks than Men?, Judgment and Decision Making, 1, 1, 48-63, (2006)
[34] Horvath, P.; Zuckerman, M., Sensation Seeking, Risk Appraisal, and Risky Behavior, Personality and Individual Differences, 14, 1, 41-52, (1993)
[35] Hur, Y.-M.; Bouchard, T. J., The Genetic Correlation between Impulsivity and Sensation Seeking Traits, Behavior Genetics, 27, 5, 455-463, (1997)
[36] Jonah, B. A., Sensation Seeking and Risky Driving: A Review and Synthesis of the Literature, Accident Analysis and Prevention, 29, 5, 651-665, (1997)
[37] Kenealy, B., Insurers Finding Ways to Use Social Media in Underwriting, Claims Handling, Business Insurance, (2013)
[38] Kremslehner, D.; Muermann, A., Asymmetric Information in Automobile Insurance: Evidence from Driving Behavior, (2013)
[39] Lepp, A.; Gibson, H., Sensation Seeking and Tourism: Tourist Role, Perception of Risk and Destination Choice, Tourism Management, 29, 4, 740-750, (2008)
[40] Llewellyn, D. J., The Psychology of Risk Taking: Toward the Integration of Psychometric and Neuropsychological Paradigms, American Journal of Psychology, 121, 30, 363-376, (2008)
[41] European Court of Justice Bans Insurers’ Use of Gender. March 25, (2011)
[42] Lonczaka, H. S.; Neighbors, C.; Donovan, D. M., Predicting Risky and Angry Driving as a Function of Gender, Accident Analysis & Prevention, 39, 3, 536-545, (2007)
[43] Magar, E. C.E.; Phillips, L. H.; Hosie, J. A., Self-Regulation and Risk Taking, Personality and Individual Differences, 45, 2, 153-159, (2008)
[44] McLannahan, B., Being ‘Wasted’ on Facebook May Damage Your Credit Score, Financial Times, (2015)
[45] Meyers, G., Pure Premium Regression with the Tweedie Model, Actuarial Review, 12-13, (2009)
[46] Miller, M. J.; Smith, R. A., The Relationship of Credit-Based Insurance Scores to Private Passenger Automobile Insurance Loss Propensity. EPIC Actuaries, (2003)
[47] Monaghan, J. E., The Impact of Personal Credit History on Loss Performance in Personal Lines, Casualty Actuary Society Forum (winter), 79-19, (2000)
[48] Review of the Use of Credit-Based Insurance Scoring by Insurers, (2008)
[49] Credit-Based Insurance Scores: How an Insurance Company Can Use Your Credit to Determine Your Premium, (2012)
[50] The Use of Social Media in Insurance, (2012)
[51] Studies, Reports and Surveys Examining the Use of Credit Scoring, Occupation or Education in Insurance, (2013)
[52] Use of Credit Information in Insurance 2013 Legislation, (2014)
[53] Netter, P.; Hennig, J.; Roed, I. S., Serotonin and Dopamine as Mediators of Sensation Seeking Behavior, Neuropsychobiology, 34, 155-165, (1996)
[54] The Use of Occupation and Education Factors in Automobile Insurance, (2008)
[55] Nicolaou, N.; Shane, S., The Influence of Sensation Seeking in the Heritability of Entrepreneurship, Strategic Entrepreneurship Journal, 2, 1, 7-21, (2008)
[56] O’Donoghue, T. D.; Rabin, M., Doing It Now or Later, American Economic Review, 89, 103-124, (1999)
[57] Papies, E.; Aarts, H.; Voh, K.; Baumeister, R., Nonconscious Self-regulation, or the Automatic Pilot of Human Behavior, Handbook of Self-regulation: Research, Theory, and Applications, (2011), New York: Guilford Press, New York
[58] Credit Based Insurance Scoring FAQ, (2015)
[59] Raffaelli, M.; Crockett, L. J., Sexual Risk Taking in Adolescence: The Role of Self-Regulation and Attraction to Risk, Developmental Psychology, 39, 6, 1036-1046, (2003)
[60] Raju, P. S., Optimum Stimulation Level: Its Relationship to Personality, Demographics, and Exploratory Behavior, Journal of Consumer Research, 7, 3, 272-282, (1980)
[61] Raylu, N.; Oei, T., Pathological Gambling: A Comprehensive Review, Clinical Psychology Review, 22, 1009-1066, (2002)
[62] Roberti, J. W., A Review of Behavioral and Biological Correlates of Sensation Seeking, Journal of Research in Personality, 38, 256-279, (2004)
[63] Rolison, M. R.; Scherman, A., College Student Risk-Taking from Three Perspectives, Adolescence, 38, 152, 689-704, (2003)
[64] Rosenblitt, J. C.; Soler, H.; Johnson, S. E.; Quadagno, D. M., Sensation Seeking and Hormones in Men and Women: Exploring the Link, Hormones and Behavior, 40, 396-402, (2001)
[65] Rosenbloom, T., Risk Evaluation and Risky Behavior of High and Low Sensation Seekers, Social Behavior and Personality, 31, 4, 375-386, (2003)
[66] Rusli, E., Bad Credit? Start Tweeting: Startups Are Rethinking How to Measure Creditworthiness beyond FICO, Wall Street Journal, (2013)
[67] Siegel, A. W.; Cousins, J. H., Adolescents’ Perceptions of the Benefits and Risks of Their Own Risk Taking, Journal of Emotional and Behavioral Disorders, 2, 2, 89-98, (1994)
[68] Sitkin, S. B.; Weingart, L. R., Determinants of Risky Decision-Making Behavior: A Test of the Mediating Role of Risk Perceptions and Propensity, Academy of Management Journal, 38, 6, 1573-1592, (1995)
[69] Sjöberg, L.; Engelberg, E., Attitudes to Economic Risk Taking, Sensation Seeking and Values of Business Students Specializing in Finance, Journal of Behavioral Finance, 10, 1, 33-43, (2009)
[70] Smyth, G. K.; Jørgensen, B., Fitting Tweedie’s Compound Poisson Model to Insurance Claims Data, ASTIN Bulletin, 32, 1, 143-157, (2002) · Zbl 1094.91514
[71] Steinberg, L.; Albert, D.; Cauffman, E.; Banich, M.; Graham, S.; Woolard, J., Age Differences in Sensation Seeking and Impulsivity as Indexed by Behavior and Self-report: Evidence for a dual Systems Mode, Developmental Psychology, 44, 6, 1764-1778, (2008)
[72] Supplementary Report to the 79th Legislature: The Use of Credit Information by Insurers in Texas: The Multivariate Analysis, (2005)
[73] Tillman, W. A.; Hobbs, G. E., The Accident-Prone Automobile Driver: A Study of the Psychiatric and Social Background, American Journal of Psychiatry, 106, 321-331, (1949)
[74] Voh, K.; Baumeister, R., Handbook of Self-Regulation: Research, Theory, and Applications. 2nd ed, (2011), New York: Guilford Press, New York
[75] White, J. B., Auto Insurance Enters the ‘Pay-per-View’ Era, Wall Street Journal, (2012)
[76] Wong, A.; Carducci, B. J., Sensation Seeking and Financial Risk Taking in Everyday Money Matters, Journal of Business and Psychology, 5, 4, 525-530, (1991)
[77] Wong, W. K., How Much Time-Inconsistency Is There and Does It Matter? Evidence on Self-awareness, Size, and Effects, Journal of Economic Behavior and Organization, 68, 645-656, (2008)
[78] Wooda, P. B.; Pfefferbauma, B.; Arnekleva, B. J., Risk Taking and Self Control: Social Psychological Correlates of Delinquency, Journal of Crime and Justice, 16, 1, 111-130, (1993)
[79] Wu, C.-S. P.; Guszcza, J. C., Does Credit Score Really Explain Insurance Losses? Multivariate Analysis from a Data Mining Point of View, Casualty Actuarial Society Forum, 113-138, (2003)
[80] Zuckerman, M., Sensation Seeking beyond the Optimum Level of Arousal, (1979), Mahwah, NJ: Erlbaum, Mahwah, NJ
[81] Zuckerman, M., The Psychophysiology of Sensation Seeking, Journal of Personality, 58, 1, 313-345, (1990)
[82] Zuckerman, M., The Psychobiological Model for Impulsive Unsocialized Sensation Seeking: A Comparative Approach, Neuropsychobiology, 34, 125-129, (1996)
[83] Zuckerman, M., Sensation Seeking and Risky Behavior, (2007), Washington, DC: American Psychological Association, Washington, DC
[84] Zuckerman, M.; Cloninger, C. R., Relationships between Cloninger’s, Zuckerman’s and Eysenck’s Dimensions of Personality, Personality and Individual Differences, 21, 2, 283-285, (1996)
[85] Zuckerman, M.; Kuhlman, D. M., Personality and Risk-Taking: Common Biosocial Factors, Journal of Personality, 68, 6, 999-1029, (2000)
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