GTApr 6

Search and Matching for Adoption from Foster Care

arXiv:2103.1014519.52 citationsh-index: 34
AI Analysis

This research addresses the challenge of finding adoptive families for over 70,000 children in foster care in the U.S., offering insights that could enhance child welfare agency practices.

The paper tackles the problem of improving adoption rates for children in foster care by comparing family-driven and caseworker-driven search approaches, finding that caseworker-driven search often leads to better outcomes, including a 44.9% higher three-year adoption probability and a 54% higher adoption hazard rate in an empirical study.

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.

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