Accommodating various policy goals in matching with constraints

Yuichiro Kamada () and Fuhito Kojima ()
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Yuichiro Kamada: University of California, Berkeley
Fuhito Kojima: Stanford University

The Japanese Economic Review, 2020, vol. 71, issue 1, No 7, 133 pages

Abstract: Abstract Distributional constraints are common features in many real matching markets, such as medical residency matching, school admissions, and teacher assignment. We present a model of matching with constraints that accommodates a wide variety of policy goals and apply that model to the setting of Kamada and Kojima (Am Econ Rev 105(1):67–99, 2015). We also formalize a number of other policy goals to show that they are subsumed by our model. We prove several comparative statics results such as showing that a mechanism we propose is a Pareto improvement for doctors upon the constrained medical matching mechanism currently used in Japan.

Keywords: Matching; Distributional constraints; Rawls; Stability; Strategy-proofness; Comparative statics (search for similar items in EconPapers)
JEL-codes: C70 D47 D61 D63 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s42973-019-00002-1

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