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Peer influence through word-of-mouth (WOM) plays an important role in many information systems but identification of causal effects is challenging. We identify causal WOM effects in the empirical setting of game adoption in a social network for gamers by exploiting differences in individuals’...
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The novelty of our model is to combine models of collective action on networks with models of social learning. Agents …
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This paper studies the peer effect of iPhone adoptions in China. We use a unique data set of iPhone adoption records from a provincial capital city in China, in a span of over four years starting from iPhone's first introduction to mainland China. We construct a social network using six month's...
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