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Screening Peers Softly: Inferring the Quality of Small Borrowers

  • Rajkamal Iyer
  • Asim Ijaz Khwaja
  • Erzo F.P. Luttmer
  • Kelly Shue

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 National Bureau of Economic Research, Inc in its series NBER Working Papers with number 15242.

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Date of creation: Aug 2009
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Handle: RePEc:nbr:nberwo:15242
Note: CF IO PE
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  1. 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.
  2. Forsythe, Robert & Lundholm, Russell, 1990. "Information Aggregation in an Experimental Market," Econometrica, Econometric Society, vol. 58(2), pages 309-47, March.
  3. Wolfers, Justin & Zitzewitz, Eric, 2004. "Prediction Markets," Research Papers 1854, Stanford University, Graduate School of Business.
  4. Darrell Duffie & Semyon Malamud & Gustavo Manso, 2009. "Information Percolation With Equilibrium Search Dynamics," Econometrica, Econometric Society, vol. 77(5), pages 1513-1574, 09.
  5. Seth Freedman & Ginger Zhe Jin, 2008. "Do Social Networks Solve Information Problems for Peer-to-Peer Lending? Evidence from Prosper.com," Working Papers 08-43, NET Institute.
  6. repec:ner:ucllon:http://discovery.ucl.ac.uk/17678/ is not listed on IDEAS
  7. 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.
  8. 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.
  9. V. Crawford & J. Sobel, 2010. "Strategic Information Transmission," Levine's Working Paper Archive 544, David K. Levine.
  10. 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.
  11. 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.
  12. Vives Xavier, 1995. "The Speed of Information Revelation in a Financial Market Mechanism," Journal of Economic Theory, Elsevier, vol. 67(1), pages 178-204, October.
  13. Philippe Aghion & Jean Tirole, 1994. "Formal and Real Authority in Organizations," Working papers 95-8, Massachusetts Institute of Technology (MIT), Department of Economics.
  14. 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.
  15. Davies, Ryan J., 2003. "The Toronto Stock Exchange preopening session," Journal of Financial Markets, Elsevier, vol. 6(4), pages 491-516, August.
  16. 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.
  17. Henry S. Farber & Robert Gibbons, 1994. "Learning and Wage Dynamics," Working Papers 707, Princeton University, Department of Economics, Industrial Relations Section..
  18. Vives, Xavier, 1993. "How Fast Do Rational Agents Learn?," Review of Economic Studies, Wiley Blackwell, vol. 60(2), pages 329-47, April.
  19. Plott, Charles R & Sunder, Shyam, 1988. "Rational Expectations and the Aggregation of Diverse Information in Laboratory Security Markets," Econometrica, Econometric Society, vol. 56(5), pages 1085-1118, September.
  20. Joseph G. Altonji & Charles R. Pierret, 2001. "Employer Learning And Statistical Discrimination," The Quarterly Journal of Economics, MIT Press, vol. 116(1), pages 313-350, February.
  21. Boot, Arnoud W A & Thakor, Anjan V, 1997. "Financial System Architecture," Review of Financial Studies, Society for Financial Studies, vol. 10(3), pages 693-733.
  22. Sanford J Grossman & Joseph E Stiglitz, 1997. "On the Impossibility of Informationally Efficient Markets," Levine's Working Paper Archive 1908, David K. Levine.
  23. Stiglitz, Joseph E, 1990. "Peer Monitoring and Credit Markets," World Bank Economic Review, World Bank Group, vol. 4(3), pages 351-66, September.
  24. 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.
  25. repec:reg:rpubli:259 is not listed on IDEAS
  26. 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.
  27. Diamond, Douglas W, 1984. "Financial Intermediation and Delegated Monitoring," Review of Economic Studies, Wiley Blackwell, vol. 51(3), pages 393-414, July.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. Manishi Prasad & Peter Wahlqvist & Rich Shikiar & Ya-Chen Tina Shih, 2004. "A," PharmacoEconomics, Springer Healthcare | Adis, vol. 22(4), pages 225-244.
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