IDEAS home Printed from https://ideas.repec.org/a/taf/recsxx/v23y2020i1p485-496.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/15140326.2020.1797338
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/15140326.2020.1797338?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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).
    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. 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).
    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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:recsxx:v:23:y:2020:i:1:p:485-496. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/recs .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.