俱乐部
货币经济学
自回归模型
业务
点对点
人口
经济
人口经济学
计量经济学
人口学
生物
计算机科学
解剖
分布式计算
社会学
作者
Olena Havrylchyk,Carlotta Mariotto,Talal Rahim,Marianne Verdier
出处
期刊:Review of Network Economics
[De Gruyter]
日期:2020-09-01
卷期号:19 (3): 145-187
被引量:18
标识
DOI:10.1515/rne-2020-0033
摘要
Abstract We use data from the two leading US platforms, Prosper and Lending Club, to explore the drivers of the growing consumer demand for peer-to-peer (P2P) credit. Despite the online nature of new entrants, we rely on the spatial autoregressive model because spatial effects play an important role. Our findings suggest that the initial growth of P2P lending was spurred by the global financial crisis, but its growth after 2011 occurred in counties that were underserved by bank branches. The growth of P2P lending is slower in counties with high bank concentration and this factor is the most robust, stable over time and economically important in our study. Counties with lower population density, lower share of educated and young people experience lower growth of P2P lending, consistent with the hypothesis that learning costs deter the entry of new entrants.
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