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Consumer credit scoring: Do situational circumstances matter?

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  • Avery, Robert B.
  • Calem, Paul S.
  • Canner, Glenn B.
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    File URL: http://www.sciencedirect.com/science/article/B6VCY-4B3NNBD-2/2/53322d33629bea265b6c974b86daf731
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    Bibliographic Info

    Article provided by Elsevier in its journal Journal of Banking & Finance.

    Volume (Year): 28 (2004)
    Issue (Month): 4 (April)
    Pages: 835-856

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    Handle: RePEc:eee:jbfina:v:28:y:2004:i:4:p:835-856

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    Web page: http://www.elsevier.com/locate/jbf

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    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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    1. Robert B. Avery & Raphael W. Bostic & Paul S. Calem & Glenn B. Canner, 2000. "Credit Scoring: Statistical Issues and Evidence from Credit-Bureau Files," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 28(3), pages 523-547.
    2. Robert M. Hunt, 2002. "The development and regulation of consumer credit reporting in America," Working Papers 02-21, Federal Reserve Bank of Philadelphia.
    3. Robert B. Avery & Paul S. Calem & Glenn B. Canner, 2003. "An overview of consumer data and credit reporting," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), issue Feb, pages 47-73.
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    Cited by:
    1. Rodrigo Alfaro & Natalia Gallardo & Roberto Stein, 2010. "The Determinants of Household Debt Defa," Working Papers Central Bank of Chile 574, Central Bank of Chile.
    2. Souphala Chomsisengphet & Ronel Elul, 2005. "Bankruptcy exemptions, credit history, and the mortgage market," Working Papers 04-14, Federal Reserve Bank of Philadelphia.
    3. Khandani, Amir E. & Kim, Adlar J. & Lo, Andrew W., 2010. "Consumer credit-risk models via machine-learning algorithms," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2767-2787, November.
    4. Fabio de Andrade & Lyn Thomas, 2004. "Structural Models In Consumer Credit," Risk and Insurance 0407001, EconWPA.
    5. Evžen Kocenda & Martin Vojtek, 2009. "Default Predictors and Credit Scoring Models for Retail Banking," CESifo Working Paper Series 2862, CESifo Group Munich.
    6. Iulia Iuga & Ruxandra Lazea, 2012. "Study Regarding The Influence Of The Unemployment Rate Over Non-Performing Loans In Romania Using The Correlation Indicator," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 2(14), pages 18.
    7. Leow, Mindy & Crook, Jonathan, 2014. "Intensity models and transition probabilities for credit card loan delinquencies," European Journal of Operational Research, Elsevier, vol. 236(2), pages 685-694.
    8. Federico Ferretti, 2007. "Consumer credit information systems: a critical review of the literature. Too little attention paid by Lawyers?," European Journal of Law and Economics, Springer, vol. 23(1), pages 71-88, February.
    9. Javier Gutiérrez Rueda & Dairo Estrada & Laura Capera, . "Un análisis del endeudamiento de los hogares," Temas de Estabilidad Financiera 061, Banco de la Republica de Colombia.

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