2015
DOI: 10.1016/j.jet.2014.11.001
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Meeting technologies and optimal trading mechanisms in competitive search markets

Abstract: In a market in which sellers compete by posting mechanisms, we study how the properties of the meeting technology affect the mechanism that sellers select. In general, sellers have incentive to use mechanisms that are socially efficient. In our environment, sellers achieve this by posting an auction with a reserve price equal to their own valuation, along with a transfer that is paid by (or to) all buyers with whom the seller meets. However, we define a novel condition on meeting technologies, which we call "i… Show more

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Cited by 41 publications
(43 citation statements)
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References 22 publications
(13 reference statements)
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“…We conclude our analysis by comparing our findings to existing results in section 4. In particular, we discuss how joint concavity relates to two other properties of meeting technologies described in the literature: (i) invariance as introduced by Lester et al (2015), and (ii) nonrivalry as introduced by Eeckhout and Kircher (2010b). We show that invariance is a su cient (but not a necessary) condition for joint concavity, while non-rivalry is a necessary (but not a su cient) condition, and we explain why this is the case.…”
Section: Introductionmentioning
confidence: 85%
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“…We conclude our analysis by comparing our findings to existing results in section 4. In particular, we discuss how joint concavity relates to two other properties of meeting technologies described in the literature: (i) invariance as introduced by Lester et al (2015), and (ii) nonrivalry as introduced by Eeckhout and Kircher (2010b). We show that invariance is a su cient (but not a necessary) condition for joint concavity, while non-rivalry is a necessary (but not a su cient) condition, and we explain why this is the case.…”
Section: Introductionmentioning
confidence: 85%
“…Invariance. Introduced by Lester et al (2015), an invariant technology is one in which the queue of blue buyers µ at a seller is a su cient statistic for the distribution of the number of meetings between blue buyers and that seller. Formally,…”
Section: Categorization Of Meeting Technologiesmentioning
confidence: 99%
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