2023
DOI: 10.1086/722978
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Stable Matching with Mistaken Agents

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Cited by 7 publications
(4 citation statements)
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“…While we estimate the school choice model (1) by assuming stable matching but not truth-telling, we can allow students to be truthful in order to study matching outcomes. This holds as long as preference estimates are consistent (Artemov et al 2023). We use the simulated rank-ordered 11 One potential caveat with our school choice framework is that it precludes applicants from reacting to (expected) policy-induced changes in peer composition across schools.…”
Section: The Impact Of Information Provision At Scalementioning
confidence: 99%
“…While we estimate the school choice model (1) by assuming stable matching but not truth-telling, we can allow students to be truthful in order to study matching outcomes. This holds as long as preference estimates are consistent (Artemov et al 2023). We use the simulated rank-ordered 11 One potential caveat with our school choice framework is that it precludes applicants from reacting to (expected) policy-induced changes in peer composition across schools.…”
Section: The Impact Of Information Provision At Scalementioning
confidence: 99%
“…That is, no college prefers to reject any of its currently matched students to vacate a seat, and no student prefers to leave her current match to become unmatched or matched with a college that is willing to accept her and, if necessary, reject one of its currently matched students. Stability is often imposed in the study of various matching markets (see, for a survey, Chiappori and Salanié (2016)) and is satisfied in equilibrium in our setting in certain game‐theoretical models (Artemov, Che, and He (2023), Fack, Grenet, and He (2019)).…”
Section: Introductionmentioning
confidence: 99%
“…Our setting contains one single matching game that changes with the market size. Proposition 3 of Azevedo and Leshno (2016), Proposition 4 of Fack, Grenet, and He (2019), and Corollary 2 of Artemov, Che, and He (2023) imply that, under certain conditions, the equilibrium outcome in the continuum approximates well an equilibrium outcome in a large finite market. Such an approximation is also used in the network literature (e.g., Menzel (2022)).…”
mentioning
confidence: 96%
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