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The role of job titles in online peer-to-peer lending: An empirical investigation on skilled borrowers

Author

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  • Davaadorj, Zagdbazar
  • Enkhtaivan, Bolortuya
  • Lu, Wenling

Abstract

We examine the role of borrowers' job titles in the online peer-to-peer (P2P) lending market. Using the U.S. Occupational Information Network database, we define skilled borrowers as the borrowers with their job titles in Job Zone 5, a group of occupations requiring individuals with the most extensive skill, knowledge, education and related experience. Analyzing data from Lending Club, one of the largest P2P platforms in the US, we find evidence that skilled borrowers are perceived as trustworthy and receive lower loan interest rate and default less frequently than do their non-skilled peers. Consistent with the signaling framework, our empirical results suggest that borrowers with certain job titles send effective signals and trustworthy job titles affect lending decisions and performance. This study sheds new light on the importance of borrowers' job titles in P2P lending.

Suggested Citation

  • Davaadorj, Zagdbazar & Enkhtaivan, Bolortuya & Lu, Wenling, 2024. "The role of job titles in online peer-to-peer lending: An empirical investigation on skilled borrowers," Journal of Behavioral and Experimental Finance, Elsevier, vol. 41(C).
    • Handle: RePEc:eee:beexfi:v:41:y:2024:i:c:s2214635024000054
    DOI: 10.1016/j.jbef.2024.100890
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    as
    1. Rajkamal Iyer & Asim Ijaz Khwaja & Erzo F. P. Luttmer & Kelly Shue, 2016. "Screening Peers Softly: Inferring the Quality of Small Borrowers," Management Science, INFORMS, vol. 62(6), pages 1554-1577, June.
    2. Edward L. Glaeser & David Laibson & Jose A. Scheinkman & Christine L. Soutter, 1999. "What is Social Capital? The Determinants of Trust and Trustworthiness," Harvard Institute of Economic Research Working Papers 1875, Harvard - Institute of Economic Research.
    3. Dorfleitner, Gregor & Priberny, Christopher & Schuster, Stephanie & Stoiber, Johannes & Weber, Martina & de Castro, Ivan & Kammler, Julia, 2016. "Description-text related soft information in peer-to-peer lending – Evidence from two leading European platforms," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 169-187.
    4. Dean Karlan & Markus Mobius & Tanya Rosenblat & Adam Szeidl, 2009. "Trust and Social Collateral," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(3), pages 1307-1361.
    5. Frederico Belo & Jun Li & Xiaoji Lin & Xiaofei Zhao, 2017. "Labor-Force Heterogeneity and Asset Prices: The Importance of Skilled Labor," The Review of Financial Studies, Society for Financial Studies, vol. 30(10), pages 3669-3709.
    6. Wuqing Wu & Dongliang Xu & Yue Zhao & Xinhai Liu, 2020. "Do consumer internet behaviours provide incremental information to predict credit default risk?," Economic and Political Studies, Taylor & Francis Journals, vol. 8(4), pages 482-499, October.
    7. Dean S. Karlan, 2005. "Using Experimental Economics to Measure Social Capital and Predict Financial Decisions," American Economic Review, American Economic Association, vol. 95(5), pages 1688-1699, December.
    8. Bardhan Ashok & Tang John, 2010. "What Kind of Job is Safer? A Note on Occupational Vulnerability," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(1), pages 1-17, January.
    9. Chen, Xiao & Huang, Bihong & Ye, Dezhu, 2020. "Gender gap in peer-to-peer lending: Evidence from China," Journal of Banking & Finance, Elsevier, vol. 112(C).
    10. Rajan, Uday & Seru, Amit & Vig, Vikrant, 2015. "The failure of models that predict failure: Distance, incentives, and defaults," Journal of Financial Economics, Elsevier, vol. 115(2), pages 237-260.
    11. Luigi Guiso & Paola Sapienza & Luigi Zingales, 2013. "The Determinants of Attitudes toward Strategic Default on Mortgages," Journal of Finance, American Finance Association, vol. 68(4), pages 1473-1515, August.
    12. Leland, Hayne E & Pyle, David H, 1977. "Informational Asymmetries, Financial Structure, and Financial Intermediation," Journal of Finance, American Finance Association, vol. 32(2), pages 371-387, May.
    13. Jeremy Lise & Fabien Postel-Vinay, 2020. "Multidimensional Skills, Sorting, and Human Capital Accumulation," American Economic Review, American Economic Association, vol. 110(8), pages 2328-2376, August.
    14. Luigi Guiso & Paola Sapienza & Luigi Zingales, 2008. "Trusting the Stock Market," Journal of Finance, American Finance Association, vol. 63(6), pages 2557-2600, December.
    15. David J Deming & Kadeem Noray, 2020. "Earnings Dynamics, Changing Job Skills, and STEM Careers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(4), pages 1965-2005.
    16. Zanin, Luca, 2020. "Combining multiple probability predictions in the presence of class imbalance to discriminate between potential bad and good borrowers in the peer-to-peer lending market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 25(C).
    17. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    18. Chen, Shiyi & Gu, Yan & Liu, Qingfu & Tse, Yiuman, 2020. "How do lenders evaluate borrowers in peer-to-peer lending in China?," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 651-662.
    19. Xiaohong Angerer & Pok‐Sang Lam, 2009. "Income Risk and Portfolio Choice: An Empirical Study," Journal of Finance, American Finance Association, vol. 64(2), pages 1037-1055, April.
    20. Lu, Haitian & Wang, Bo & Wang, Haizhi & Zhao, Tianyu, 2020. "Does social capital matter for peer-to-peer-lending? Empirical evidence," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
    21. Agarwal, Sumit & Chomsisengphet, Souphala & Zhang, Yunqi, 2017. "How does working in a finance profession affect mortgage delinquency?," Journal of Banking & Finance, Elsevier, vol. 78(C), pages 1-13.
    22. Thakor, Anjan V., 2020. "Fintech and banking: What do we know?," Journal of Financial Intermediation, Elsevier, vol. 41(C).
    23. Shahriar, Abu Zafar M. & Unda, Luisa A. & Alam, Quamrul, 2020. "Gender differences in the repayment of microcredit: The mediating role of trustworthiness," Journal of Banking & Finance, Elsevier, vol. 110(C).
    24. Bae, Jaewan & Kang, Jangkoo, 2023. "Human capital quality and stock returns," Journal of Banking & Finance, Elsevier, vol. 152(C).
    25. Douglas W. Diamond, 1984. "Financial Intermediation and Delegated Monitoring," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 51(3), pages 393-414.
    26. Carlos Serrano-Cinca & Begoña Gutiérrez-Nieto & Luz López-Palacios, 2015. "Determinants of Default in P2P Lending," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-22, October.
    27. Chen, Xiao & Huang, Bihong & Ye, Dezhu, 2018. "The role of punctuation in P2P lending: Evidence from China," Economic Modelling, Elsevier, vol. 68(C), pages 634-643.
    28. 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.
    29. Jensen, Michael C. & Meckling, William H., 1976. "Theory of the firm: Managerial behavior, agency costs and ownership structure," Journal of Financial Economics, Elsevier, vol. 3(4), pages 305-360, October.
    30. Xuchen Lin & Xiaolong Li & Zhong Zheng, 2017. "Evaluating borrower’s default risk in peer-to-peer lending: evidence from a lending platform in China," Applied Economics, Taylor & Francis Journals, vol. 49(35), pages 3538-3545, July.
    31. Lesmeister, Simon & Limbach, Peter & Goergen, Marc, 2022. "Trust and monitoring," Journal of Banking & Finance, Elsevier, vol. 143(C).
    32. Grunert, Jens & Norden, Lars & Weber, Martin, 2005. "The role of non-financial factors in internal credit ratings," Journal of Banking & Finance, Elsevier, vol. 29(2), pages 509-531, February.
    33. Mohamed Ghaly & Viet Anh Dang & Konstantinos Stathopoulos, 2017. "Cash Holdings and Labor Heterogeneity: The Role of Skilled Labor," The Review of Financial Studies, Society for Financial Studies, vol. 30(10), pages 3636-3668.
    34. Shintaro Yamaguchi, 2012. "Tasks and Heterogeneous Human Capital," Journal of Labor Economics, University of Chicago Press, vol. 30(1), pages 1-53.
    35. Liu, Zhengchi & Shang, Jennifer & Wu, Shin-yi & Chen, Pei-yu, 2020. "Social collateral, soft information and online peer-to-peer lending: A theoretical model," European Journal of Operational Research, Elsevier, vol. 281(2), pages 428-438.
    36. Becchetti, Leonardo & Conzo, Pierluigi, 2011. "Enhancing capabilities through credit access: Creditworthiness as a signal of trustworthiness under asymmetric information," Journal of Public Economics, Elsevier, vol. 95(3-4), pages 265-278, April.
    37. Wu, Bao & Liu, Zijia & Gu, Qiuyang & Tsai, Fu-Sheng, 2023. "Underdog mentality, identity discrimination and access to peer-to-peer lending market: Exploring effects of digital authentication," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(C).
    38. Ernesto Dal Bó & Marko Terviö, 2013. "Self-Esteem, Moral Capital, And Wrongdoing," Journal of the European Economic Association, European Economic Association, vol. 11(3), pages 599-663, June.
    39. repec:pri:rpdevs:gamespaper.pdf is not listed on IDEAS
    40. Michael Spence, 1973. "Job Market Signaling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 87(3), pages 355-374.
    41. Tobias Berg & Valentin Burg & Ana Gombović & Manju Puri, 2020. "On the Rise of FinTechs: Credit Scoring Using Digital Footprints," The Review of Financial Studies, Society for Financial Studies, vol. 33(7), pages 2845-2897.
    42. Miguel Palacios, 2015. "Editor's Choice Human Capital as an Asset Class Implications from a General Equilibrium Model," The Review of Financial Studies, Society for Financial Studies, vol. 28(4), pages 978-1023.
    43. Gonzalez, Laura & Loureiro, Yuliya Komarova, 2014. "When can a photo increase credit? The impact of lender and borrower profiles on online peer-to-peer loans," Journal of Behavioral and Experimental Finance, Elsevier, vol. 2(C), pages 44-58.
    44. Karen L. Webber & Rachel A. Burns, 2022. "The Price of Access: Graduate Student Debt for Students of Color 2000 to 2016," The Journal of Higher Education, Taylor & Francis Journals, vol. 93(6), pages 934-961, September.
    45. Juanjuan Chen & Yabin Zhang & Zhujia Yin, 2018. "Education Premium In The Online Peer-To-Peer Lending Marketplace: Evidence From The Big Data In China," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 63(01), pages 45-64, March.
    46. Jefferson Duarte & Stephan Siegel & Lance Young, 2012. "Trust and Credit: The Role of Appearance in Peer-to-peer Lending," The Review of Financial Studies, Society for Financial Studies, vol. 25(8), pages 2455-2484.
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    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance

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