Search prominence and return costs
Arthur Fishman and
Dmitry Lubensky ()
International Journal of Industrial Organization, 2018, vol. 58, issue C, 136-161
Abstract:
It is widely held that sellers prefer to appear early in a consumer’s search, but evidence suggests this need not be the case. We develop a model which incorporates costly search and costly return and demonstrate that appearing later may be better. When return is free, prominence is desirable by standard logic, however costly return induces a tradeoff – it benefits an earlier seller by reducing the initial search but also benefits a later seller by preventing return conditional on search. We show that for small search costs later is better whenever high outcomes have a low likelihood, or whenever two independent match value draws are likely to be near one another. Later can still be better if sellers compete in prices prior to search. Finally, with many sellers the optimal position may be first, last, or in between but earlier positions are favored as the number of sellers grows.
Keywords: Search position; Consumer search; Search with costly recall; Search prominence (search for similar items in EconPapers)
JEL-codes: D83 L13 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167718717303648
Full text for ScienceDirect subscribers only
Related works:
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:eee:indorg:v:58:y:2018:i:c:p:136-161
DOI: 10.1016/j.ijindorg.2017.10.009
Access Statistics for this article
International Journal of Industrial Organization is currently edited by P. Bajari, B. Caillaud and N. Gandal
More articles in International Journal of Industrial Organization from Elsevier
Bibliographic data for series maintained by Catherine Liu ().