Integration and search engine bias
Alexandre de Cornière () and
Greg Taylor
RAND Journal of Economics, 2014, vol. 45, issue 3, 576-597
Abstract:
type="main">
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.
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (64)
Downloads: (external link)
http://hdl.handle.net/10.1111/1756-2171.12063 (text/html)
Access to full text is restricted to subscribers.
Related works:
Working Paper: Integration and search engine bias (2014)
Working Paper: Integration and Search Engine Bias (2013) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:randje:v:45:y:2014:i:3:p:576-597
Ordering information: This journal article can be ordered from
http://www.blackwell ... al.asp?ref=0741-6261
Access Statistics for this article
RAND Journal of Economics is currently edited by James Hosek
More articles in RAND Journal of Economics from RAND Corporation Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().