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Cited by 435

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Learning from the Crowd: Regression Discontinuity Estimates of the Effects of an Online Review Database

Anderson, Michael, Magruder, Jeremy·2012·The Economic Journal

Abstract

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.

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Crossref · 10.1111/j.1468-0297.2012.02512.x

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Citations

Cites

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Research works printed but not linked: 3

  1. Alexa Internet, 2011, Yelp.com Site Info
  2. Luca, 2011, Reviews, reputation, and revenues: the case of Yelp.com
  3. National Restaurant Association, 2010, Restaurant Industry Operations Report

Cited by

See all 435

Metadata

Authors
Anderson, M., & Magruder, J.
Venue
The Economic Journal
Published
2012-03-09
Volume
122
Issue
563
Pages
957-989
ISSN
  • 0013-0133 (ISSN-L)
  • 1468-0297
OpenAlex
W2151496550
Cited by
435
References
19
FWCI
77.19
Type
journal article
Language
en
Open access
closed
Licence
doi.wiley.com/10.1002/tdm_license_1.1 (tdm, 1271 d)

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CoChat. (2026). Citation check: Learning from the Crowd: Regression Discontinuity Estimates of the Effects of an Online Review Database. https://app.cochat.ai/papers/10.1111/j.1468-0297.2012.02512.x
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Anderson, M., & Magruder, J. (2012). Learning from the Crowd: Regression Discontinuity Estimates of the Effects of an Online Review Database. The Economic Journal. https://doi.org/10.1111/j.1468-0297.2012.02512.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.