Demographics, policy, and foster care rates; A Predictive Analytics Approach

Jesse Russell and Stephanie Macgill

Children and Youth Services Review, 2015, vol. 58, issue C, 118-126

Abstract: Individual, family, and community-level factors have been suggested as explanations of foster care entry rates and average lengths of time that children remain in foster care. They do not, however, provide a sufficient explanation of the substantial geographical variation in entry rates and average lengths of stay across the United States. State-level child welfare policies and state-level socioeconomic variables may help explain these trends, but no empirical analysis to date has identified how policies and socioeconomic facts might interact in ways that can help account for the wide geographic differences.

Keywords: Child maltreatment; Foster care; Foster care entry; Time in care; Child welfare policy; Demographics; Risk factors; Maltreatment risk factors; Classification and regression trees; CARTs (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:cysrev:v:58:y:2015:i:c:p:118-126

DOI: 10.1016/j.childyouth.2015.09.009

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