This paper empirically examines the existence of marital discrimination in P2P lending platform, based on the data from “Renrendai” lending platform. In order to investigate the interaction of marriage and sex, the product of the two’s product variable is introduced in this paper. After controlling the order variables and individual variables, the result shows that the investors prefer to lend to the married borrowers and the married men borrowers rather than the divorced borrowers. Furthermore, the study in this paper shows that the married borrowers and the married men borrowers have higher default rates, and the divorced borrowers have lower default rates. Then it can be concluded that the marriage-based discrimination is an irrational behavior. Finally, after two kinds of robustness tests, the conclusion of the paper is still valid.
Zhang Juan
. A Study of Marital Discrimination in Internet Finance in China——Data from“Renrendai”[J]. Finance & Economics of Xinjiang, 2018
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: 32
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DOI: 10.16716/j.cnki.65-1030/f.2018.01.008
[1] 谢平,邹传伟.互联网金融模式研究[J].金融研究,2012(12):11-22.
[2] Michels.Do Unverifiable Disclosures Matter?——Evidence from Peer -to -Peer Lending[J].Accounting Review,2012(4):1385-1413.
[3] Ravina E..Beauty,Personal Characteristics,and Trust Incredit Markets[M].New York:NY,2007.
[4] Herzenstein M.,Andrews R.L..The Democratization of Personal Consumer Loans——Determinants of Success in Online Peer-to-Peer Loan Auctions[J].Bulletin of the University of Delaware,2008(15):274-277.
[5] 李悦雷,郭阳,张维.中国P2P小额贷款市场借贷成功率影响因素分析[J].金融研究,2013(7):126-138.
[6] 彭红枫,赵海燕,周洋.借款陈述会影响借款成本和借款成功率吗? ——基于网络借贷陈述的文本分析[J].金融研究,2016(4):158-173.
[7] 李焰,高弋君,李珍妮,才子豪,王冰婷,杨宇轩.借款人描述性信息对投资人决策的影响——基于 P2P 网络借贷平台的分析[J].经济研究,2014(S1):143-155.
[8] 陈霄,丁晓裕,王贝芬.民间借贷逾期行为研究——基于 P2P 网络借贷的实证分析[J].金融论坛,2013(11):65-72.
[9] 彭红枫,杨柳明,谭小玉.地域差异如何影响P2P平台借贷的行为——基于“人人贷”的经验数据[J].当代经济科学,2016(5):21-34.
[10] 顾慧莹,姚铮.P2P网络借贷平台中借款人违约风险影响因素研究[J].上海经济研究,2015(11):37-46.
[11] 廖理,李梦然,王正位,贺裴菲.观察中学习: P2P 网络投资中信息传递与羊群行为[J].清华大学学报(哲学社会科学版),2015(1):156－165.
[12] 张科,裴平.信息不对称、贷款人类型与羊群效应[J].经济管理,2016(6):125-137.
[13] Phelps E..The Statistical Theory of Racism and Sexism[J].American Economic Review,1972(62):659-661.
[14] Becker G..The Economics of Discrimination Chicago[M].University of Chicago Press,1957.
[15] 吴小英,鞠颖.基于最小二乘法的网络借贷模型[J].厦门大学学报(自然科学版),2012(6):980-984.
[16] 庄雷,周勤.身份歧视:互联网金融创新效率研究——基于P2P网络借贷[J].经济管理,2015(4):136-147.
[17] N Barasinska,D.Schaefer.Does Gender Affect Funding Success at the Peer-to-Peer Credit Markets? ——Evidence from the Largest German Lending Platform[Z].Discussion Papers of Diw Berlin,2010.
[18] 陈霄,叶德珠.中国互联网金融中的性别歧视研究[J].金融评论,2016(2):1-15.
[19] 廖理,李梦然,王正位.地域——中国互联网金融的地域歧视研究[J].数量经济技术经济研究,2014(5):54-70.
[20] 蒋彧,周安琪.P2P网络借贷中存在地域歧视吗?——来自“人人贷”的经验数据[J].中央财经大学学报,2016(9):29-39.
[21] 廖理,吉霖,张伟强.借贷市场能准确识别学历的价值吗？——来自P2P平台的经验证据[J].金融研究,2015(3):146-159.
