Arbeitspapier

Matching platforms

A platform matches agents from two sides of a market to create a trading opportunity between them. The agents subscribe to the platform by paying subscription fees which are contingent on their reported private types, and then engage in strategic interactions with their matched partner(s). A matching mechanism of the platform specifies the subscription fees as well as the matching rule which determines the probability that each type of agent on one side is matched with each type on the other side. We characterize optimal matching mechanisms which induce truthful reporting from the agents and maximize the subscription revenue. We show that the optimal mechanisms for a one-to-one trading platform match do not necessarily entail assortative matching, and may employ an alternative matching rule that maximizes the extraction of informational rents of the higher type. We then study an auction platform that matches each seller to two agents, and show that the optimal mechanism entails the combination of negative and positive assortative matching.

Sprache
Englisch

Erschienen in
Series: ISER Discussion Paper ; No. 1072

Klassifikation
Wirtschaft
Market Structure, Pricing, and Design: Monopoly
Market Design
Externalities
Asymmetric and Private Information; Mechanism Design
Monopoly; Monopolization Strategies
Thema
assortative
random
auction
subscription
revenue maximization
complementarity

Ereignis
Geistige Schöpfung
(wer)
Aoyagi, Masaki
Yoo, Seung Han
Ereignis
Veröffentlichung
(wer)
Osaka University, Institute of Social and Economic Research (ISER)
(wo)
Osaka
(wann)
2019

Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Aoyagi, Masaki
  • Yoo, Seung Han
  • Osaka University, Institute of Social and Economic Research (ISER)

Entstanden

  • 2019

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