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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.

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
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    Cited by:

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    3. Konstantin Kosenko & Noam Michelson, 2018. "It Takes More than Two to Tango: Understanding the Dynamics behind Multiple Bank Lending and its Implications," Bank of Israel Working Papers 2018.11, Bank of Israel.
    4. Craig, Ben & Ma, Yiming, 2022. "Intermediation in the interbank lending market," Journal of Financial Economics, Elsevier, vol. 145(2), pages 179-207.
    5. Ben R. Craig & Yiming Ma, 2020. "Intermediation in the Interbank Lending Market," Working Papers 20-09, Federal Reserve Bank of Cleveland.
    6. Yumeng Miao & Rong Du & Jin Li & J. Christopher Westland, 2019. "A two-sided matching model in the context of B2B export cross-border e-commerce," Electronic Commerce Research, Springer, vol. 19(4), pages 841-861, December.
    7. Chen Shengqun & Shi Hailiu & Li Meijuan & Wang Yingming & Lin Yang, 2016. "Two-Sided Matching Decision-Making with Uncertain Information Under Multiple States," Journal of Systems Science and Information, De Gruyter, vol. 4(2), pages 186-194, April.
    8. Kosenko, Konstantin & Michelson, Noam, 2022. "It takes more than two to tango: Multiple bank lending, asset commonality and risk," Journal of Financial Stability, Elsevier, vol. 61(C).
    9. Yin, Desheng & Hasan, Iftekhar & Liu, Liuling & Wang, Haizhi, 2022. "Trust and contracting with foreign banks: Evidence from China," Journal of Asian Economics, Elsevier, vol. 83(C).
    10. 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.
    11. Taehoon Kim & Jacob Schwartz & Kyungchul Song & Yoon-Jae Whang, 2019. "Monte Carlo Inference on Two-Sided Matching Models," Econometrics, MDPI, vol. 7(1), pages 1-15, March.
    12. 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.
    13. Kolev, Atanas & Maurin, Laurent & Ségol, Matthieu, 2019. "What firms don't like about bank loans: New evidence from survey data," EIB Working Papers 2019/07, European Investment Bank (EIB).
    14. Suguru Otani & Takuma Matsuda, 2023. "Unified Merger List in the Container Shipping Industry from 1966: A Structural Estimation of the Transition of Importance of a Firm's Age, Tonnage Capacity, and Geographical Proximity on Merger Decisi," Papers 2310.09938, arXiv.org, revised Nov 2023.
    15. Oktay Akkus & J. Anthony Cookson & Ali Hortaçsu, 2016. "The Determinants of Bank Mergers: A Revealed Preference Analysis," Management Science, INFORMS, vol. 62(8), pages 2241-2258, August.
    16. Olivier Darmouni, 2020. "Informational Frictions and the Credit Crunch," Journal of Finance, American Finance Association, vol. 75(4), pages 2055-2094, August.
    17. Francis Lawrence B. De Jesus & Enrico Aurelio Torres, 2017. "Analysis of the ASEAN Banking Integration Framework: the Philippines as a looking glass for consumer preference," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 7(1), pages 1-16, December.
    18. Suguru Otani, 2021. "Estimating Endogenous Coalitional Mergers: Merger Costs and Assortativeness of Size and Specialization," Papers 2108.12744, arXiv.org, revised Mar 2023.
    19. 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.
    20. Jian Ni & Kannan Srinivasan, 2015. "Matching in the Sourcing Market: A Structural Analysis of the Upstream Channel," Marketing Science, INFORMS, vol. 34(5), pages 722-738, September.
    21. Wang, Zhihong & Li, Yangyang & Gu, Fu & Guo, Jianfeng & Wu, Xiaojun, 2020. "Two-sided matching and strategic selection on freight resource sharing platforms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 559(C).
    22. Atanas Kolev & Laurent Maurin & Matthieu Segol, 2022. "What Makes Firms Dissatisfied with Their Bank Loans: New Evidence from Survey Data," Journal of Financial Services Research, Springer;Western Finance Association, vol. 61(3), pages 407-430, June.

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    More about this item

    Keywords

    Loan market; Two-sided matching; Maximum score estimator;
    All these keywords.

    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

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