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The signaling effects of education in the online lending market: Evidence from China

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  • Huang, Wenli
  • Qian, Yanhong
  • Xu, Nanyan

Abstract

In this study, we use data from an online lending platform named Xinxindai in China to empirically study the signaling effects of education for the default risk of borrowers. Three dependent variables are created, namely, the probability of default, overdue payments and overdue amount, and probit models, count models and Tobit models are employed correspondingly. The number of universities in the “211 Project” of China at the city level is employed as the instrumental variable. The empirical evidence shows that education generally plays a strong signaling role in the identification of borrowers’ default risk in China. The negative marginal effect of education declines as borrowing times increase and as the marketization of regions deepens. This study helps to fill an important gap in the existing literature. Platforms and lenders can use educational level for reference in identifying the default risk of borrowers.

Suggested Citation

  • Huang, Wenli & Qian, Yanhong & Xu, Nanyan, 2020. "The signaling effects of education in the online lending market: Evidence from China," Economic Modelling, Elsevier, vol. 92(C), pages 268-276.
    • Handle: RePEc:eee:ecmode:v:92:y:2020:i:c:p:268-276
    DOI: 10.1016/j.econmod.2020.01.007
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    References listed on IDEAS

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    1. Dongyu Chen & Xiaolin Li & Fujun Lai, 2017. "Gender discrimination in online peer-to-peer credit lending: evidence from a lending platform in China," Electronic Commerce Research, Springer, vol. 17(4), pages 553-583, December.
    2. 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.
    3. Gathergood, John, 2012. "Self-control, financial literacy and consumer over-indebtedness," Journal of Economic Psychology, Elsevier, vol. 33(3), pages 590-602.
    4. 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.
    5. Nataliya Barasinska & Dorothea Schäfer, 2010. "Does Gender Affect Funding Success at the Peer-to-Peer Credit Markets?: Evidence from the Largest German Lending Platform," Discussion Papers of DIW Berlin 1094, DIW Berlin, German Institute for Economic Research.
    6. 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.
    7. Deanna Sharpe & Rui Yao & Li Liao, 2012. "Correlates of Credit Card Adoption in Urban China," Journal of Family and Economic Issues, Springer, vol. 33(2), pages 156-166, June.
    8. Ashenfelter, Orley & Krueger, Alan B, 1994. "Estimates of the Economic Returns to Schooling from a New Sample of Twins," American Economic Review, American Economic Association, vol. 84(5), pages 1157-1173, December.
    9. Card, David, 2001. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," Econometrica, Econometric Society, vol. 69(5), pages 1127-1160, September.
    10. Riza Emekter & Yanbin Tu & Benjamas Jirasakuldech & Min Lu, 2015. "Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending," Applied Economics, Taylor & Francis Journals, vol. 47(1), pages 54-70, January.
    11. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    12. Michael Spence, 1973. "Job Market Signaling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 87(3), pages 355-374.
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    Cited by:

    1. Bertrand, Jérémie & Weill, Laurent, 2021. "Do algorithms discriminate against African Americans in lending?," Economic Modelling, Elsevier, vol. 104(C).
    2. Birulin, Oleksii & Smirnov, Vladimir & Wait, Andrew, 2020. "The evolving nature of the college wage premium," Economic Modelling, Elsevier, vol. 93(C), pages 474-479.
    3. Wang, Shaoda & Ye, Dezhu & Liao, Junyun, 2024. "Politeness matters: The role of polite languages in online peer-to-peer lending," Journal of Business Research, Elsevier, vol. 171(C).

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