Distance on matchings: an axiomatic approach
Autor: | Burak Can, Mohsen Pourpouneh, Ton Storcken |
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Přispěvatelé: | RS: GSBE MORSE, RS: FSE DACS Mathematics Centre Maastricht, Data Analytics and Digitalisation |
Jazyk: | angličtina |
Rok vydání: | 2023 |
Předmět: |
c00 - Mathematical and Quantitative Methods: General
matching markets Justice Equity distance function Mathematical and Quantitative Methods: General d63 - Equity Allocative Efficiency Cost-Benefit Analysis metrics Inequality d63 - Equity Justice Inequality and Other Normative Criteria and Measurement and Other Normative Criteria and Measurement Bargaining Theory Matching Theory General Economics Econometrics and Finance |
Zdroj: | Theoretical Economics, 18(2), 597-632. Korean Econometric Society |
ISSN: | 1555-7561 1933-6837 |
DOI: | 10.3982/TE4882 |
Popis: | Matchings in a market may have varying degrees of compromise from efficiency, fairness, and or stability. A distance function allows to quantify such concepts or the (dis)similarity between any two matchings. There are a few attempts to propose such functions; however, these are tailored for specific applications and ignore the individual preferences completely. In this paper, we construct a normative framework to quantify the difference between outcomes of market mechanisms in matching markets, while endogenizing the preferences of the individuals into the distance concept. Several conditions are introduced to capture natural and appealing behavior of such functions. We find a class of distance functions called scaled Borda distances, which is the only class of distance functions that satisfies these conditions simultaneously. |
Databáze: | OpenAIRE |
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