The Influence of Expert Reviews on Consumer Demand for Experience Goods: A Case Study of Movie Critics

By D. Reinstein, Christopher M. Snyder. 2005

614 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Marketing, Visual Arts and Performing Arts

View Paper: https://www.semanticscholar.org/paper/0c9eadcabab8a2fc4a6cea9bcfa9f2062f45bb94

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

In Marketing

In Visual Arts and Performing Arts

Citations in the corpus

Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets (2008, background): “This literature has thus drawn attention to the product information contained in such reviews (Dellarocas et al. 2005, Reinstein and Snyder 2005, Chevalier and Mayzlin 2006).”
The Economics of Movies: A Literature Survey (2012, neutral): “In an insightful study Reinstein and Snyder (2005) also consider the prediction vs.”
Is Oprah Contagious? Identifying Demand Spillovers in Online Networks (2012, neutral): “The impact of reviews on demand has been extensively studied in marketing literature in the context of traditional commerce (Boatwright et al. 2007; Reinstein and Snyder 2005) and e-”
Do expert reviews really drive demand? Evidence from a German car magazine (2015, background): “There is some evidence that expert opinions or reviews in magazines may or may not have impact on consumers’ buying decisions (see, e.g. Eliashberg and Shugan, 1997; Reinstein and Snyder, 2005; Clement et al., 2008 and Berger et al., 2010).”
To Review or Not to Review? Limited Strategic Thinking at the Movie Box Office (2012, neutral): “…about a movie that depends on its characteristics Xj and whether it was cold opened cj .28 Below we consider two models of belief formation which incorporate different types of limits on strategic 28It is not crucial that moviegoers literally know whether a movie has been cold-opened or not…”
Bestseller Lists and Product Variety: The Case of Book Sales (2004, positive): “analysis of Reinstein and Snyder (2000) , who exploit quirks in the timing of movie critics’ reviews to identify their impact on box office sales.”
Harnessing the Influence of Social Proof in Online Shopping: The Effect of Electronic Word of Mouth on Sales of Digital Microproducts (2011, background): “One of the most significant problems in measuring eWOM is the endogeneity problem [18, 36].”
Exploring the value of online product reviews in forecasting sales: The case of motion pictures (2007, methodology): “We were able to collect partial rater demographic data by mining the user proﬁles that are associated with the reviewers’ Yahoo IDs.”
Wisdom or Madness? Comparing Crowds with Expert Evaluation in Funding the Arts (2016, neutral): “Expert judgments are influential in a number of ways, including acting as predictors of commercial success and influencers of popular opinion (Eliashberg & Shugan, 1997), as well gatekeepers of vital resources (Ginsburgh, 2003; Reinstein & Snyder, 2005b).”
Do online reviews matter? - An empirical investigation of panel data (2008, background): “In addition, prior research also suggests that review ratings have a positive impact on movie sales [40] [41].”
Learning from the Crowd: Regression Discontinuity Estimates of the Effects of an Online Review Database (2012, background): “Reinstein and Snyder (2005) find that positive reviews by professional movie critics increase box office revenue, and Hilger et al. (forthcoming) show that high scores on expert opinion labels increase demand for wines.”
Media Bias and Advertising: Evidence from a German Car Magazine (2014, background): “REINSTEIN and SNYDER (2005) show that positive reviews for some genre of movies have significant impact on its success.”
Expert Opinion and the Demand for Experience Goods: An Experimental Approach in the Retail Wine Market (2011, methodology): “Reported models utilize three alternate controls: Single Store, Set A, and Set B, which are reported in columns (1-3), (4-6), and (7-9) respectively.”
Empirical Analysis of the Impact of Recommender Systems on Sales (2010, background): “these include pricing, where high prices serve as a signal of high quality for frequently purchased goods [9]; advertising as a direct source of characteristics of search goods [33]; and expert reviews, which have substantial influence on demand for experience goods [14, 37].”