Open AccessLearning from the Crowd: Regression Discontinuity Estimates of the Effects of an Online Review Database *
Author(s) -
Anderson Michael,
Magruder Jeremy
Publication year - 2012
Publication title -
the economic journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.683
H-Index - 160
eISSN - 1468-0297
pISSN - 0013-0133
DOI - 10.1111/j.1468-0297.2012.02512.x
Subject(s) - regression discontinuity design , database , library science , history , computer science , statistics , mathematics
Internet review forums increasingly supplement expert opinion and social networks in informing consumers about product quality. However, limited empirical evidence links digital word‐of‐mouth to purchasing decisions. We implement a regression discontinuity design to estimate the effect of positive Yelp.com ratings on restaurant reservation availability. An extra half‐star rating causes restaurants to sell out 19 percentage points (49%) more frequently, with larger impacts when alternate information is more scarce. These returns suggest that restaurateurs face incentives to leave fake reviews but a rich set of robustness checks confirm that restaurants do not manipulate ratings in a confounding, discontinuous manner.