Evaluating the Efficiency of Regulation in Matching Markets with Distributional Disparities

Fuente: arXiv
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Autores principales: Ikegami, Kei, Iwasaki, Atsushi, Matsushita, Akira, Okumura, Kyohei
Formato: Preprint
Publicado: 2022
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author Ikegami, Kei
Iwasaki, Atsushi
Matsushita, Akira
Okumura, Kyohei
author_facet Ikegami, Kei
Iwasaki, Atsushi
Matsushita, Akira
Okumura, Kyohei
contents Cap-based regulations are widely used to address distributional disparities in matching markets, but their efficiency relative to alternative instruments such as subsidies remains poorly understood. This paper develops a framework for evaluating policy interventions by incorporating regional constraints into a transferable utility matching model. We show that a policymaker with aggregate-level match data can implement a taxation policy that maximizes social welfare and outperforms any cap-based policy. Using newly collected data from the Japan Residency Matching Program, we estimate participant preferences and simulate counterfactual match outcomes under both cap-based and subsidy-based policies. The results reveal that the status quo cap-based regulation generates substantial efficiency losses, whereas small, targeted subsidies can achieve similar distributional goals with significantly higher social welfare.
format Preprint
id arxiv_https___arxiv_org_abs_2205_14387
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Evaluating the Efficiency of Regulation in Matching Markets with Distributional Disparities
Ikegami, Kei
Iwasaki, Atsushi
Matsushita, Akira
Okumura, Kyohei
Computer Science and Game Theory
General Economics
Economics
Cap-based regulations are widely used to address distributional disparities in matching markets, but their efficiency relative to alternative instruments such as subsidies remains poorly understood. This paper develops a framework for evaluating policy interventions by incorporating regional constraints into a transferable utility matching model. We show that a policymaker with aggregate-level match data can implement a taxation policy that maximizes social welfare and outperforms any cap-based policy. Using newly collected data from the Japan Residency Matching Program, we estimate participant preferences and simulate counterfactual match outcomes under both cap-based and subsidy-based policies. The results reveal that the status quo cap-based regulation generates substantial efficiency losses, whereas small, targeted subsidies can achieve similar distributional goals with significantly higher social welfare.
title Evaluating the Efficiency of Regulation in Matching Markets with Distributional Disparities
topic Computer Science and Game Theory
General Economics
Economics
url https://arxiv.org/abs/2205.14387