The Financial Consequences of Online Review Aggregators: Evidence from Yelp Ratings and SBA Loans
利用断点回归设计，发现Yelp评分每提高半星，小企业贷款利率降低25个基点、抵押要求降低6%，且对信息不对称的银行影响更大。
This paper demonstrates the financial and real consequences of online review aggregators. Exploiting a regression discontinuity design that overcomes the endogenous relationship between Yelp reviews and Small Business Administration loan outcomes, I show that higher coarse Yelp ratings lead to improved loan terms and performance. Specifically, a one-half-star increase in Yelp ratings corresponds to a 25-basis-point decrease in loan spread and 6% lower collateral requirements. The effects are more pronounced when banks have less borrower information. Higher Yelp ratings also contribute to increased consumer demand and the likelihood of future business openings. These findings indicate that online review aggregators influence both consumer choices and banks’ financing decisions. This paper was accepted by Gustavo Manso, finance. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2020.03003 .