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Screening Peers Softly: Inferring the Quality of Small Borrowers

  • Iyer, Rajkamal


  • Khwaja, Asim Ijaz

    (Harvard University)

  • Luttmer, Erzo F. P.

    (Dartmouth University)

  • Shue, Kelly

    (University of Chicago)

The recent banking crisis highlights the challenges faced in credit intermediation. New online peer-to-peer lending markets offer opportunities to examine lending models that primarily cater to small borrowers and that generate more types of information on which to screen. This paper evaluates screening in a peer-to-peer market where lenders observe both standard financial information and soft, or nonstandard, information about borrower quality. Our methodology takes advantage of the fact that while lenders do not observe a borrower's exact credit score, we do. We find that lenders are able to predict default with 45% greater accuracy than what is achievable based on just the borrower's credit score, the traditional measure of creditworthiness used by banks. We further find that lenders effectively use nonstandard or soft information and that such information is relatively more important when screening borrowers of lower credit quality. In addition to estimating the overall inference of creditworthiness, we also find that lenders infer a third of the variation in the dimension of creditworthiness that is captured by the credit score. This credit-score inference relies primarily upon standard hard information, but still draws relatively more from softer or less standard information when screening lower-quality borrowers. Our results highlight the importance of screening mechanisms that rely on soft information, especially in settings targeted at smaller borrowers.

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Paper provided by Harvard University, John F. Kennedy School of Government in its series Working Paper Series with number rwp13-017.

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Date of creation: May 2013
Date of revision:
Handle: RePEc:ecl:harjfk:rwp13-017
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  1. Hanson, Robin & Oprea, Ryan & Porter, David, 2006. "Information aggregation and manipulation in an experimental market," Journal of Economic Behavior & Organization, Elsevier, vol. 60(4), pages 449-459, August.
  2. Charles Cao & Eric Ghysels & Frank Hatheway, 2000. "Price Discovery without Trading: Evidence from the Nasdaq Preopening," Journal of Finance, American Finance Association, vol. 55(3), pages 1339-1365, 06.
  3. William Adams & Liran Einav & Jonathan Levin, 2009. "Liquidity Constraints and Imperfect Information in Subprime Lending," American Economic Review, American Economic Association, vol. 99(1), pages 49-84, March.
  4. Forsythe, Robert & Lundholm, Russell, 1990. "Information Aggregation in an Experimental Market," Econometrica, Econometric Society, vol. 58(2), pages 309-47, March.
  5. Aghion, Philippe & Tirole, Jean, 1997. "Formal and Real Authority in Organizations," Scholarly Articles 4554125, Harvard University Department of Economics.
  6. Joseph G. Altonji & Charles R. Pierret, 1997. "Employer learning and statistical discrimination," Working Paper Series, Macroeconomic Issues WP-97-11, Federal Reserve Bank of Chicago.
  7. Stiglitz, Joseph E, 1990. "Peer Monitoring and Credit Markets," World Bank Economic Review, World Bank Group, vol. 4(3), pages 351-66, September.
  8. Justin Wolfers & Eric Zitzewitz, 2004. "Prediction Markets," NBER Working Papers 10504, National Bureau of Economic Research, Inc.
  9. repec:reg:rpubli:259 is not listed on IDEAS
  10. Crawford, Vincent P & Sobel, Joel, 1982. "Strategic Information Transmission," Econometrica, Econometric Society, vol. 50(6), pages 1431-51, November.
  11. Stiglitz, Joseph E & Weiss, Andrew, 1981. "Credit Rationing in Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 71(3), pages 393-410, June.
  12. Vives, X., 1992. "The Speed of Information Revelation in a Financial Market Mechanism," UFAE and IAE Working Papers 174.92, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
  13. Darrell DUFFIE & Semyon MALAMUD & Gustavo MANSO, . "Information Percolation with Equilibrium Search Dynamics," Swiss Finance Institute Research Paper Series 09-02, Swiss Finance Institute.
  14. Liran Einav & Mark Jenkins & Jonathan Levin, 2013. "The impact of credit scoring on consumer lending," RAND Journal of Economics, RAND Corporation, vol. 44(2), pages 249-274, 06.
  15. Manove, Michael & Padilla, A Jorge & Pagano, Marco, 2001. "Collateral versus Project Screening: A Model of Lazy Banks," RAND Journal of Economics, The RAND Corporation, vol. 32(4), pages 726-44, Winter.
  16. Plott, Charles R. & Sunder, Shyam., . "Rational Expectations and the Aggregation of Diverse Information in Laboratory Security Markets," Working Papers 463, California Institute of Technology, Division of the Humanities and Social Sciences.
  17. Allen N. Berger & Nathan H. Miller & Mitchell A. Petersen & Raghuram G. Rajan & Jeremy C. Stein, 2002. "Does Function Follow Organizational Form? Evidence From the Lending Practices of Large and Small Banks," NBER Working Papers 8752, National Bureau of Economic Research, Inc.
  18. Vives, X., 1990. "How Fast Do Rational Agents Learn?," UFAE and IAE Working Papers 135-90, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
  19. Boot, Arnoud W A & Thakor, Anjan, 1995. "Financial System Architecture," CEPR Discussion Papers 1197, C.E.P.R. Discussion Papers.
  20. Davies, Ryan J., 2003. "The Toronto Stock Exchange preopening session," Journal of Financial Markets, Elsevier, vol. 6(4), pages 491-516, August.
  21. Bronfman, Corinne & McCabe, Kevin & Porter, David & Rassenti, Stephen & Smith, Vernon, 1992. "An Experimental Examination of the Walrasian Tatonnement Mechanism," Working Papers 824, California Institute of Technology, Division of the Humanities and Social Sciences.
  22. Seth M. Freedman & Ginger Zhe Jin, 2011. "Learning by Doing with Asymmetric Information: Evidence from," NBER Working Papers 16855, National Bureau of Economic Research, Inc.
  23. Henry S. Farber & Robert Gibbons, 1991. "Learning and Wage Dynamics," NBER Working Papers 3764, National Bureau of Economic Research, Inc.
  24. Diamond, Douglas W, 1984. "Financial Intermediation and Delegated Monitoring," Review of Economic Studies, Wiley Blackwell, vol. 51(3), pages 393-414, July.
  25. Sanford J Grossman & Joseph E Stiglitz, 1997. "On the Impossibility of Informationally Efficient Markets," Levine's Working Paper Archive 1908, David K. Levine.
  26. Avery, Robert B. & Bostic, Raphael W. & Samolyk, Katherine A., 1998. "The role of personal wealth in small business finance," Journal of Banking & Finance, Elsevier, vol. 22(6-8), pages 1019-1061, August.
  27. Jose M. Liberti & Atif R. Mian, 2009. "Estimating the Effect of Hierarchies on Information Use," Review of Financial Studies, Society for Financial Studies, vol. 22(10), pages 4057-4090, October.
  28. Seth Freedman & Ginger Zhe Jin, 2008. "Do Social Networks Solve Information Problems for Peer-to-Peer Lending? Evidence from," Working Papers 08-43, NET Institute.
  29. Ghatak, Maitreesh, 2000. "Screening by the Company You Keep: Joint Liability Lending and the Peer Selection Effect," Economic Journal, Royal Economic Society, vol. 110(465), pages 601-31, July.
  30. Manishi Prasad & Peter Wahlqvist & Rich Shikiar & Ya-Chen Tina Shih, 2004. "A," PharmacoEconomics, Springer Healthcare | Adis, vol. 22(4), pages 225-244.
  31. Mingfeng Lin & Nagpurnanand R. Prabhala & Siva Viswanathan, 2013. "Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending," Management Science, INFORMS, vol. 59(1), pages 17-35, August.
  32. Bruno Biais & Pierre Hillion & Chester Spatt, 1999. "Price Discovery and Learning during the Preopening Period in the Paris Bourse," Journal of Political Economy, University of Chicago Press, vol. 107(6), pages 1218-1248, December.
  33. Benjamin J. Keys & Tanmoy Mukherjee & Amit Seru & Vikrant Vig, 2010. "Did Securitization Lead to Lax Screening? Evidence from Subprime Loans," The Quarterly Journal of Economics, MIT Press, vol. 125(1), pages 307-362, February.
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