A Dynamic Matching Framework for Faster Child Adoptions

Fuente: arXiv
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Autore principale: Highsmith, Terence
Natura: Preprint
Pubblicazione: 2024
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author Highsmith, Terence
author_facet Highsmith, Terence
contents Caseworkers in foster care systems match waiting children to adoptive homes. We use dynamic matching market design to characterize a class of mechanisms that incentivize expedient matches that homes can accept or decline. We design mechanisms satisfying fairness and limited strategy-proofness. They also avoid costly patience. Our empirically-based simulations suggest the mechanisms could increase adoptions by at least 25% versus the status quo. A naive dynamic extension of Deferred Acceptance does not attain these benefits. Our mechanisms sidestep direct preference elicitation by predicting preferences, and they are robust to prediction error.
format Preprint
id arxiv_https___arxiv_org_abs_2411_09817
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Dynamic Matching Framework for Faster Child Adoptions
Highsmith, Terence
Theoretical Economics
Computer Science and Game Theory
Caseworkers in foster care systems match waiting children to adoptive homes. We use dynamic matching market design to characterize a class of mechanisms that incentivize expedient matches that homes can accept or decline. We design mechanisms satisfying fairness and limited strategy-proofness. They also avoid costly patience. Our empirically-based simulations suggest the mechanisms could increase adoptions by at least 25% versus the status quo. A naive dynamic extension of Deferred Acceptance does not attain these benefits. Our mechanisms sidestep direct preference elicitation by predicting preferences, and they are robust to prediction error.
title A Dynamic Matching Framework for Faster Child Adoptions
topic Theoretical Economics
Computer Science and Game Theory
url https://arxiv.org/abs/2411.09817