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Two-sided matching in the loan market

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  • Chen, Jiawei
  • Song, Kejun

Abstract

This paper investigates the matching between banks and firms in the loan market. We estimate a many-to-one two-sided matching model using the Fox (2010) matching maximum score estimator. Using data on the U.S. loan market from 2000 to 2003, we find evidence of positive assortative matching of sizes. Moreover, we show that banks and firms prefer partners that are geographically closer, giving support to the importance of physical proximity for information gathering and expertise sharing. We also show that banks and firms prefer partners with whom they had prior loans, indicating that prior loan relationship plays an important role in the selection of current partners.

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Bibliographic Info

Article provided by Elsevier in its journal International Journal of Industrial Organization.

Volume (Year): 31 (2013)
Issue (Month): 2 ()
Pages: 145-152

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Handle: RePEc:eee:indorg:v:31:y:2013:i:2:p:145-152

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Web page: http://www.elsevier.com/locate/inca/505551

Related research

Keywords: Loan market; Two-sided matching; Maximum score estimator;

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References

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  1. 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.
  2. R. Glenn Hubbard & Kenneth N. Kuttner & Darius N. Palia, 1999. "Are there "bank effects" in borrowers' costs of funds? Evidence from a matched sample of borrowers and banks," Staff Reports 78, Federal Reserve Bank of New York.
  3. Anthony Coleman & Neil Esho & Ian Sharpe, 2006. "Does Bank Monitoring Influence Loan Contract Terms?," Journal of Financial Services Research, Springer, vol. 30(2), pages 177-198, October.
  4. Christopher James & David C. Smith, 2000. "Are Banks Still Special? New Evidence on Their Role in the Corporate Capital-Raising Process," Journal of Applied Corporate Finance, Morgan Stanley, vol. 13(1), pages 52-63.
  5. Marc R. Saidenberg & Philip E. Strahan, 1999. "Are banks still important for financing large businesses?," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 5(Jul).
  6. Anil K. Kashyap & Jeremy C. Stein, 1994. "Monetary Policy and Bank Lending," NBER Chapters, in: Monetary Policy, pages 221-261 National Bureau of Economic Research, Inc.
  7. Delgado, Miguel A. & Rodriguez-Poo, Juan M. & Wolf, Michael, 2001. "Subsampling inference in cube root asymptotics with an application to Manski's maximum score estimator," Economics Letters, Elsevier, vol. 73(2), pages 241-250, November.
  8. Kim, Moshe & Kliger, Doron & Vale, Bent, 2003. "Estimating switching costs: the case of banking," Journal of Financial Intermediation, Elsevier, vol. 12(1), pages 25-56, January.
  9. Cole, Rebel A. & Goldberg, Lawrence G. & White, Lawrence J., 2004. "Cookie Cutter vs. Character: The Micro Structure of Small Business Lending by Large and Small Banks," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 39(02), pages 227-251, June.
  10. Jayaratne, Jith & Morgan, Donald P, 2000. "Capital Market Frictions and Deposit Constraints at Banks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 32(1), pages 74-92, February.
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Cited by:
  1. Hałaj, Grzegorz & Kok, Christoffer, 2014. "Modeling emergence of the interbank networks," Working Paper Series 1646, European Central Bank.

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