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Education Premium In The Online Peer-To-Peer Lending Marketplace: Evidence From The Big Data In China

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  • JUANJUAN CHEN

    (School of Economics and Trade, Hunan University (HNU), 109 Shijiachong Road, Yuelu District, Changsha City, Hunan Province, 410006, P. R. China)

  • YABIN ZHANG

    (School of Economics and Trade, Hunan University (HNU), 109 Shijiachong Road, Yuelu District, Changsha City, Hunan Province, 410006, P. R. China)

  • ZHUJIA YIN

    (School of Economics and Management, Changsha University of Science and Technology (CSUST), 960, 2nd Section, Wanjiali South RD, Changsha City Hunan Province, 410114, P. R. China)

Abstract

We study the education premiums in the online peer-to-peer (P2P) lending marketplace in which individuals bid on unsecured microloans applied by individual borrowers. Using more than 100,000 consummated and failed listings from the largest online P2P lending marketplace in China — Paipaidai.com, we examine whether higher education level lead to lower interest rates and lower risk of default. We find that controlling for other characteristics of borrowers, borrowing rates of borrowers with bachelor’s degrees is 0.141 percent higher than that of borrowers with associate’s degrees, and that female borrowers’ education premiums were higher than their male counterparts. With regard to loan performance, borrowers with bachelor’s degrees are 13% less likely to default than the borrowers with associate’s degrees. Therefore, the education premiums in the P2P lending marketplace are rational.

Suggested Citation

  • 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.
    • Handle: RePEc:wsi:serxxx:v:63:y:2018:i:01:n:s0217590818410023
    DOI: 10.1142/S0217590818410023
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    Cited by:

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    3. 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.
    4. Li, Jianwen & Hu, Jinyan, 2019. "Does university reputation matter? Evidence from peer-to-peer lending," Finance Research Letters, Elsevier, vol. 31(C), pages 66-77.
    5. Qun Chen & Ji-Wen Li & Jian-Guo Liu & Jing-Ti Han & Yun Shi & Xun-Hua Guo, 2021. "Borrower Learning Effects: Do Prior Experiences Promote Continuous Successes in Peer-to-Peer Lending?," Information Systems Frontiers, Springer, vol. 23(4), pages 963-986, August.
    6. Qun Chen & Ji-Wen Li & Jian-Guo Liu & Jing-Ti Han & Yun Shi & Xun-Hua Guo, 0. "Borrower Learning Effects: Do Prior Experiences Promote Continuous Successes in Peer-to-Peer Lending?," Information Systems Frontiers, Springer, vol. 0, pages 1-24.
    7. Yinghui Chen & Xiaolin Gong & Chien-Chi Chu & Yang Cao, 2018. "Access to the Internet and Access to Finance: Theory and Evidence," Sustainability, MDPI, vol. 10(7), pages 1-38, July.
    8. Jianwen Li & Jinyan Hu, 2022. "Migrants and default: Evidence from China," International Review of Finance, International Review of Finance Ltd., vol. 22(3), pages 472-505, September.
    9. Beibei Niu & Jinzheng Ren & Ansa Zhao & Xiaotao Li, 2020. "Lender Trust on the P2P Lending: Analysis Based on Sentiment Analysis of Comment Text," Sustainability, MDPI, vol. 12(8), pages 1-14, April.

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