2017
DOI: 10.1016/j.jet.2017.03.002
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Search frictions, competing mechanisms and optimal market segmentation

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 22 publications
(29 citation statements)
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“…Cai et al. () demonstrate that this decision depends crucially on the type of meeting mechanism assumed. Separate submarkets for each type of buyer (common with price posting models) are efficient if and only if meetings are bilateral.…”
Section: Model 2: Discrete Abilitiesmentioning
confidence: 99%
See 3 more Smart Citations
“…Cai et al. () demonstrate that this decision depends crucially on the type of meeting mechanism assumed. Separate submarkets for each type of buyer (common with price posting models) are efficient if and only if meetings are bilateral.…”
Section: Model 2: Discrete Abilitiesmentioning
confidence: 99%
“…However, using the Cai et al. () distinctions, but preserving the key margins that we focus on here, we can say that a model of this kind would most naturally be one with urn‐ball meetings. To the extent that the Cai et al.…”
Section: Model 2: Discrete Abilitiesmentioning
confidence: 99%
See 2 more Smart Citations
“… See for example Eeckhout and Kircher (). For the private value case, Cai et al () in fact demonstrate that merging any two submarkets increases the total surplus under any type distribution if and only if the meeting technology satisfies a property called joint concavity . According to this property, the probability of meeting at least one low‐type seller is a concave function of the queue length of low‐type sellers and the queue length of high‐type sellers.…”
mentioning
confidence: 99%