Integration and search engine bias

Alexandre de Cornière and Greg Taylor
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Alexandre de Cornière: University of Oxford

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Abstract: We study the effects of integration between a search engine and a publisher. In a model in which the search engine (i) allocates users across publishers and (ii) competes with publishers to attract advertisers, we find that the search engine is biased against publishers that display many ads – even without integration. Integration can (but need not) lead to own-content bias. It can also benefit consumers by reducing the nuisance costs due to excessive advertising. Advertisers are more likely to suffer from integration than consumers. On net, the welfare effects of integration are ambiguous.

Keywords: search; engine (search for similar items in EconPapers)
Date: 2014-07
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Citations: View citations in EconPapers (54)

Published in RAND Journal of Economics, 2014, 45 (3), pp.576-597

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Related works:
Journal Article: Integration and search engine bias (2014)
Working Paper: Integration and Search Engine Bias (2013)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-01510254

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