Distance on matchings: An axiomatic approach

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Standard

Distance on matchings : An axiomatic approach. / Can, Burak; Pourpouneh, Mohsen; Storcken, Ton.

In: Theoretical Economics, Vol. 18, No. 2, 2023, p. 597-632.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Can, B, Pourpouneh, M & Storcken, T 2023, 'Distance on matchings: An axiomatic approach', Theoretical Economics, vol. 18, no. 2, pp. 597-632. https://doi.org/10.3982/TE4882

APA

Can, B., Pourpouneh, M., & Storcken, T. (2023). Distance on matchings: An axiomatic approach. Theoretical Economics, 18(2), 597-632. https://doi.org/10.3982/TE4882

Vancouver

Can B, Pourpouneh M, Storcken T. Distance on matchings: An axiomatic approach. Theoretical Economics. 2023;18(2):597-632. https://doi.org/10.3982/TE4882

Author

Can, Burak ; Pourpouneh, Mohsen ; Storcken, Ton. / Distance on matchings : An axiomatic approach. In: Theoretical Economics. 2023 ; Vol. 18, No. 2. pp. 597-632.

Bibtex

@article{38a14574e3bf4383b4322850c37bd7b2,
title = "Distance on matchings: An axiomatic approach",
abstract = "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.",
keywords = "C0, C78, D61, D63, distance function, Matching markets, metrics",
author = "Burak Can and Mohsen Pourpouneh and Ton Storcken",
note = "Publisher Copyright: Copyright {\textcopyright} 2023 The Authors.",
year = "2023",
doi = "10.3982/TE4882",
language = "English",
volume = "18",
pages = "597--632",
journal = "Theoretical Economics",
issn = "1555-7561",
publisher = "The Econometric Society",
number = "2",

}

RIS

TY - JOUR

T1 - Distance on matchings

T2 - An axiomatic approach

AU - Can, Burak

AU - Pourpouneh, Mohsen

AU - Storcken, Ton

N1 - Publisher Copyright: Copyright © 2023 The Authors.

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - C0

KW - C78

KW - D61

KW - D63

KW - distance function

KW - Matching markets

KW - metrics

U2 - 10.3982/TE4882

DO - 10.3982/TE4882

M3 - Journal article

AN - SCOPUS:85159867043

VL - 18

SP - 597

EP - 632

JO - Theoretical Economics

JF - Theoretical Economics

SN - 1555-7561

IS - 2

ER -

ID: 371558465