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来源类型Working Paper
规范类型报告
DOI10.3386/w26776
来源IDWorking Paper 26776
Digitization and Pre-Purchase Information: The Causal and Welfare Impacts of Reviews and Crowd Ratings
Imke C. Reimers; Joel Waldfogel
发表日期2020-02-24
出版年2020
语种英语
摘要Digitization has led to product proliferation, straining traditional institutions for product discovery; but digitization has also spawned crowd-based rating systems. We compare the relative impacts of professional critics and crowd-based Amazon star ratings on consumer welfare in book publishing. We assemble data on daily Amazon sales ranks, star ratings, and prices for thousands of books in 2018, along with information on their professional reviews in several major outlets. Using various fixed effects and discontinuity-based empirical strategies, we estimate that a New York Times review raises estimated sales by 78 percent during the first five days following a review; and the elasticity of sales with respect to an Amazon star is about 0.75. We use these causal estimates to calibrate structural models of demand for measuring the welfare impact of pre-purchase information in a way that respects the distinction between ex ante and ex post utility. The aggregate effect of star ratings on consumer surplus is roughly 15 times the effect of traditional review outlets. Crowd-based information now accounts for the vast majority of pre-purchase information, but the absolute effects of professional reviews have not declined over time.
主题Industrial Organization ; Market Structure and Firm Performance ; Industry Studies
URLhttps://www.nber.org/papers/w26776
来源智库National Bureau of Economic Research (United States)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/584450
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Imke C. Reimers,Joel Waldfogel. Digitization and Pre-Purchase Information: The Causal and Welfare Impacts of Reviews and Crowd Ratings. 2020.
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