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Designing Optimal Disability Insurance: A Case for Asset Testing Author info | Abstract | Publisher info | Download info | Related research | Statistics Mikhail Golosov
Aleh Tsyvinski
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A Bayesian consumer who is uncertain about the quality of an information source will infer that the source is of higher quality when its reports conform to the consumer's prior expectations. We use this fact to build a model of media bias in which firms slant their reports toward the prior beliefs of their customers in order to build a reputation for quality. Bias emerges in our model even though it can make all market participants worse off. The model predicts that bias will be less severe when consumers receive independent evidence on the true state of the world and that competition between independently owned news outlets can reduce bias. We present a variety of empirical evidence consistent with these predictions.
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Article provided by University of Chicago Press in its journal Journal of Political Economy .
Volume (Year): 114 (2006)
Issue (Month): 2 (April)
Pages: 257-279
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Handle: RePEc:ucp:jpolec:v:114:y:2006:i:2:p:257-279Contact details of provider: Postal: The University of Chicago Press, Journals Division, P.O. Box 37005 Chicago, IL 60637 Fax: (773) 753-0811 Email: Web page: http://www.journals.uchicago.edu/JPE/home.html
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