HUBEI AGRICULTURAL SCIENCES ›› 2019, Vol. 58 ›› Issue (5): 123-128.doi: 10.14088/j.cnki.issn0439-8114.2019.05.029

• Economy & Management • Previous Articles     Next Articles

An analysis of "academic background preference" in network loan market——Empirical evidence from the renrendai platform

ZHAO Gong-min, LI Ning, WU Yong-jie   

  1. School of Economics and Management,North University of China,Taiyuan 030051,China
  • Received:2018-10-07 Online:2019-03-10 Published:2019-12-03

Abstract: Using the Renrendai online lending platform transaction data as empirical evidence, the Probit model is used to analyze the effect of academic level on the success rate of borrowing and the default rate of borrowing to analyze the impact of academic qualifications on the online lending market.The research results show that the success rate of borrowing is positively correlated with the level of education, while the default rate of borrowing is negatively correlated with the level of education. Further research shows that the online lending market has a certain degree of "educational preference", that is, investors prefer college and undergraduate degrees, while borrowers with high school and below, graduate students and above have lower success rates.

Key words: academic preference, online lending, success rate of borrowing, default rate

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