IDEAS home Printed from https://ideas.repec.org/a/eee/indorg/v31y2013i2p145-152.html
   My bibliography  Save this article

Two-sided matching in the loan market

Author

Listed:
  • 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.

Suggested Citation

  • Chen, Jiawei & Song, Kejun, 2013. "Two-sided matching in the loan market," International Journal of Industrial Organization, Elsevier, vol. 31(2), pages 145-152.
  • Handle: RePEc:eee:indorg:v:31:y:2013:i:2:p:145-152
    DOI: 10.1016/j.ijindorg.2012.12.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167718712001245
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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).
    5. 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.
    6. Hubbard, R Glenn & Kuttner, Kenneth N & Palia, Darius N, 2002. "Are There Bank Effects in Borrowers' Costs of Funds? Evidence from a Matched Sample of Borrowers and Banks," The Journal of Business, University of Chicago Press, vol. 75(4), pages 559-581, October.
    7. Berger, Allen N. & Miller, Nathan H. & Petersen, Mitchell A. & Rajan, Raghuram G. & Stein, Jeremy C., 2005. "Does function follow organizational form? Evidence from the lending practices of large and small banks," Journal of Financial Economics, Elsevier, vol. 76(2), pages 237-269, May.
    8. 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.
    9. Anthony Coleman & Neil Esho & Ian Sharpe, 2006. "Does Bank Monitoring Influence Loan Contract Terms?," Journal of Financial Services Research, Springer;Western Finance Association, vol. 30(2), pages 177-198, October.
    10. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kok, Christoffer & Hałaj, Grzegorz, 2014. "Modeling emergence of the interbank networks," Working Paper Series 1646, European Central Bank.
    2. repec:spr:jglont:v:7:y:2017:i:1:d:10.1186_s40497-017-0082-2 is not listed on IDEAS
    3. Ashish Arora & Michelle Gittelman & Sarah Kaplan & John Lynch & Will Mitchell & Nicolaj Siggelkow & Denisa Mindruta & Mahka Moeen & Rajshree Agarwal, 2016. "A two-sided matching approach for partner selection and assessing complementarities in partners' attributes in inter-firm alliances," Strategic Management Journal, Wiley Blackwell, vol. 37(1), pages 206-231, January.
    4. Nosal, K.;, 2017. "Two-Sided Matching in Physician-Insurer Networks: Evidence from Medicare Advantage," Health, Econometrics and Data Group (HEDG) Working Papers 17/19, HEDG, c/o Department of Economics, University of York.
    5. Park, Minjung, 2013. "Understanding merger incentives and outcomes in the US mutual fund industry," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4368-4380.

    More about this item

    Keywords

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

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:indorg:v:31:y:2013:i:2:p:145-152. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu) or (). General contact details of provider: http://www.elsevier.com/locate/inca/505551 .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.