# Search and Matching for Adoption from Foster Care

Source: [Search and Matching for Adoption from Foster Care](<https://www.sota2.com/research/paper/68fa79eb1e209131cea7ff61>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-04-09T05:00:04.534Z

Authors: Ludwig Dierks, Nils Olberg, Sven Seuken, Vincent W. Slaugh, M. Utku \\"Unver

Published: 2021-03-18T10:24:18.000Z

## Abstract

To find families for the more than 70,000 children in need of adoptive placements, most United States child welfare agencies have employed a family-driven search approach in which prospective families respond to announcements made by the agency. However, some agencies have switched to a caseworker-driven search approach in which the caseworker directly contacts families recommended for a child. We introduce a novel search-and-matching model that captures the key features of the adoption process and compare family-driven with caseworker-driven search in a game-theoretical framework. Under either approach, the equilibria are generated by threshold strategies and form a lattice structure. Our main theoretical finding then shows that no family-driven equilibrium can Pareto dominate any caseworker-driven outcome, whereas it is possible that each caseworker-driven equilibrium Pareto dominates every equilibrium attainable under family-driven search. We also find that, within our model, when families are sufficiently impatient, caseworker-driven search is better for all children. We numerically illustrate that most agents are better off under caseworker-driven search across a wide range of parameter values. Finally, we present an empirical study of an agency that switched to caseworker-driven search, finding a three-year adoption probability that outperformed a statewide benchmark by 44.9%, along with a statistically significant 54% higher adoption hazard rate.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

- [Survival Analysis on AFCARS Florida](<https://www.sota2.com/research/sota/survival-analysis-on-afcars-florida.md>): Survival Analysis; AFCARS Florida; Log-likelihood Ratio Test Value: 1446.877.

- [Adoption Clearance Rate Analysis on Florida AFCARS Before: 7/1/2014-6/30/2018](<https://www.sota2.com/research/sota/adoption-clearance-rate-analysis-on-florida-afcars-before-7-1-2014-6-30-2018.md>): Adoption Clearance Rate Analysis; Florida AFCARS Before: 7/1/2014-6/30/2018; Mean Adoption Rate (Focal Circuit): 57.

- [Adoption Clearance Rate Analysis on Florida AFCARS After: 7/1/2019-6/30/2024](<https://www.sota2.com/research/sota/adoption-clearance-rate-analysis-on-florida-afcars-after-7-1-2019-6-30-2024.md>): Adoption Clearance Rate Analysis; Florida AFCARS After: 7/1/2019-6/30/2024; Mean % Adopted (Focal Agency Circuit): 58.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2103.10145>)

[PDF](<https://arxiv.org/pdf/2103.10145.pdf>)
