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Anatomy of the Credit Score

Author

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  • Arya, Shweta
  • Eckel, Catherine
  • Colin, Wichman

Abstract

This paper addresses the question of what determines a poor credit score. We compare estimated credit scores with measures of impulsivity, time preference, risk attitude and trustworthiness, in an effort to determine the preferences that underlie credit behavior. Data are collected using an incentivized decision making lab experiment, together with financial and psychological surveys. Credit scores are estimated using an online FICO credit score estimator based on survey data supplied by the participants. Preferences are assessed using a survey measure of impulsivity, with experimental measures of time and risk preferences, as well as trustworthiness. Controlling for income differences, we find that the credit score is correlated with measures of impulsivity, time preference, and trustworthiness.

Suggested Citation

  • Arya, Shweta & Eckel, Catherine & Colin, Wichman, 2011. "Anatomy of the Credit Score," MPRA Paper 47783, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:47783
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    References listed on IDEAS

    as
    1. Catherine C. Eckel & Cathleen Johnson & Claude Montmarquette & Christian Rojas, 2007. "Debt Aversion and the Demand for Loans for Postsecondary Education," Public Finance Review, , vol. 35(2), pages 233-262, March.
    2. repec:pri:rpdevs:gamespaper.pdf is not listed on IDEAS
    3. Stephan Meier & Charles Sprenger, 2010. "Present-Biased Preferences and Credit Card Borrowing," American Economic Journal: Applied Economics, American Economic Association, vol. 2(1), pages 193-210, January.
    4. DeanS. Karlan, 2007. "Social connections and group banking," Economic Journal, Royal Economic Society, vol. 117(517), pages 52-84, February.
    5. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    6. Dean S. Karlan, 2005. "Using Experimental Economics to Measure Social Capital and Predict Financial Decisions," American Economic Review, American Economic Association, vol. 95(5), pages 1688-1699, December.
    7. Glenn W. Harrison & Morten I. Lau & Melonie B. Williams, 2002. "Estimating Individual Discount Rates in Denmark: A Field Experiment," American Economic Review, American Economic Association, vol. 92(5), pages 1606-1617, December.
    8. George-Marios Angeletos & David Laibson & Andrea Repetto & Jeremy Tobacman & Stephen Weinberg, 2001. "The Hyberbolic Consumption Model: Calibration, Simulation, and Empirical Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 15(3), pages 47-68, Summer.
    9. Catherine C. Eckel & Philip J. Grossman, 2008. "Forecasting Risk Attitudes: An Experimental Study Using Actual and Forecast Gamble Choices," Monash Economics Working Papers archive-01, Monash University, Department of Economics.
    10. Maribeth Coller & Melonie Williams, 1999. "Eliciting Individual Discount Rates," Experimental Economics, Springer;Economic Science Association, vol. 2(2), pages 107-127, December.
    11. Catherine Eckel & Cathleen Johnson & Claude Montmarquette, 2005. "Saving Decisions Of The Working Poor: Short- And Long-Term Horizons," Research in Experimental Economics, in: Field Experiments in Economics, pages 219-260, Emerald Group Publishing Limited.
    12. Berg Joyce & Dickhaut John & McCabe Kevin, 1995. "Trust, Reciprocity, and Social History," Games and Economic Behavior, Elsevier, vol. 10(1), pages 122-142, July.
    13. Alessandra Cassar & Luke Crowley & Bruce Wydick, 2007. "The effect of social capital on group loan repayment: evidence from field experiments," Economic Journal, Royal Economic Society, vol. 117(517), pages 85-106, February.
    14. Shane Frederick & George Loewenstein & Ted O'Donoghue, 2002. "Time Discounting and Time Preference: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 40(2), pages 351-401, June.
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    Cited by:

    1. Alexandra Brown & J. Michael Collins & Maximilian D. Schmeiser & Carly Urban, 2014. "State Mandated Financial Education and the Credit Behavior of Young Adults," Finance and Economics Discussion Series 2014-68, Board of Governors of the Federal Reserve System (U.S.).
    2. Urban, Carly & Schmeiser, Maximilian & Collins, J. Michael & Brown, Alexandra, 2020. "The effects of high school personal financial education policies on financial behavior," Economics of Education Review, Elsevier, vol. 78(C).

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    More about this item

    Keywords

    credit score; time preference; risk attitude; trust; impulsivity;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance

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