Spatial Search

Xiaoming Cai, Pieter Gautier, Ronald Wolthoff

Research output: Working paper / PreprintWorking paperProfessional

Abstract

This paper considers a random search model where some locations provide sellers
with better chances of meeting many buyers than other locations (for example popular
shopping streets or the first page of a search engine). When sellers are heterogeneous
in terms of the quality of their product and/or the probability that a given buyer likes
their product, it is desirable that sellers of high-quality niche products sort into the best
locations. We show that this does not always happen in a decentralized market. Finally,
we allow for endogenous location distributions and show that more trades are realized
when locations are similar (in which case the aggregate matching function is urn-ball)
but that quality weighted trade can be higher when locations are heterogeneous.
Original languageEnglish
PublisherTinbergen Institute
Number of pages39
Publication statusPublished - 2024

Publication series

NameTI Discussion Paper Series
Volume24-015/VIII

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