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Gender differences in self-risk evaluation: evidence from the Renrendai online lending platform

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  • Xun Li
  • Yuxin Deng
  • Shanlin Li

Abstract

Risk-related gender differences such as risk perception and risk aversion are widely discussed, whereas gender differences in self-risk evaluations are unknown. Using a sample of more than 310,000 individual loan applications from the Renrendai online lending platform, this study uses a hedonic model to examine gender differences in self-risk evaluations. We find that males are more likely than females to offer lower interest rate premiums when they have favorable attributes, such as larger loans, higher credit ratings, married status, and income level, and females tend to offer lower interest rate premiums when they have unfavorable attributes, such as longer-term loans. We conclude that males seek benefits and females avoid disadvantages when evaluating their own risk, which is supported by economic, biological and psychological research. Our findings fill this gap on gender differences in risk-related behaviors.

Suggested Citation

  • Xun Li & Yuxin Deng & Shanlin Li, 2020. "Gender differences in self-risk evaluation: evidence from the Renrendai online lending platform," Journal of Applied Economics, Taylor & Francis Journals, vol. 23(1), pages 485-496, January.
    • Handle: RePEc:taf:recsxx:v:23:y:2020:i:1:p:485-496
    DOI: 10.1080/15140326.2020.1797338
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    Cited by:

    1. Li, Jianwen & Zhang, Bo & Jiang, Mingming & Hu, Jinyan, 2023. "Homophilous intensity in the online lending market: Bidding behavior and economic effects," Journal of Banking & Finance, Elsevier, vol. 152(C).
    2. Caglayan, Mustafa & Talavera, Oleksandr & Xiong, Lin, 2022. "Female small business owners in China: Discouraged, not discriminated," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    3. Tian, Geran & Wu, Weixing, 2023. "Big data pricing in marketplace lending and price discrimination against repeat borrowers: Evidence from China," China Economic Review, Elsevier, vol. 78(C).
    4. 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.

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