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  Reciprocal Preferences in Matching Markets

Opitz, T., & Schwaiger, C. (2023). Reciprocal Preferences in Matching Markets. Max Planck Institute for Innovation & Competition Research Paper, No. 23-06.

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externe Referenz:
https://ssrn.com/abstract=4365472 (Preprint)
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 Urheber:
Opitz, Timm1, Autor           
Schwaiger, Christoph, Autor
Affiliations:
1MPI for Innovation and Competition, Max Planck Society, ou_2035292              

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Schlagwörter: Market Design, Matching, Reciprocal Preferences, Non-standard Preferences, Gale-Shapley Deferred Acceptance Mechanism, Incomplete Information
 Zusammenfassung: Agents with reciprocal preferences prefer to be matched to a partner who also likes to collaborate with them. In this paper, we introduce and formalize reciprocal preferences, apply them to matching markets, and analyze the implications for mechanism design. Formally, the preferences of an agent can depend on the preferences of potential partners and there is incomplete information about the
partners’ preferences. We find that there is no stable mechanism in standard two-sided markets. Observing the final allocation of the mechanism enables agents to learn about each other’s preferences, leading to instability. However, in a school choice setting with one side of the market being non-strategic, modified versions of the deferred acceptance mechanism can achieve stability. These results provide insights into non-standard preferences in matching markets, and their implications for efficient information and mechanism design.

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Sprache(n): eng - English
 Datum: 2023-03-01
 Publikationsstatus: Online veröffentlicht
 Seiten: 31
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
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Titel: Max Planck Institute for Innovation & Competition Research Paper
Genre der Quelle: Reihe
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: No. 23-06 Artikelnummer: - Start- / Endseite: - Identifikator: -

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Titel: CRC TRR 190 Discussion Paper Series
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: No. 388 Artikelnummer: - Start- / Endseite: - Identifikator: -