Demand effects of consumers’ stated and revealed preferences
Per Engström and
Journal of Economic Behavior & Organization, 2018, vol. 150, issue C, 43-61
Knowledge of how consumers react to different signals is fundamental to understanding how markets work. The modern electronic marketplace has revolutionized the possibilities for consumers to gather detailed information about products and services before purchase. Specifically, a consumer can easily – through a host of online forums and evaluation sites – estimate a product’s quality based on either (i) what other users say about the product (stated preferences) or (ii) how many other users that have bought the product (revealed preferences). In this paper, we compare the causal effects on demand from these two signals based on data from the biggest marketplace for Android apps, Google play. This data consists of daily information, for 42 consecutive days, of more than 500,000 apps from the US version of Google play. Our main result is that consumers are much more responsive to other consumers’ revealed preferences, compared to others’ stated preferences. A 10 percentile increase in displayed average rating only increases downloads by about 3%, while a 10 percentile increase in displayed number of downloads increases downloads by about 25%.
Keywords: Peer effects; Observational learning; Network effects; Stated preferences; Revealed preferences; eWOM; Google play; Android apps; Regression discontinuity design; Instrumental variable analysis (search for similar items in EconPapers)
JEL-codes: C21 C26 D83 M31 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jeborg:v:150:y:2018:i:c:p:43-61
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