Causal effects of foster care: An instrumental-variables approach
This paper describes the use of instrumental-variables (IV) to estimate causal effects of foster care on long- and short-term outcomes. This estimation strategy provides a tool to evaluate what are known as "natural experiments": settings that mimic randomization usually associated with a...
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Elsevier BV
2019
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Online Access: | http://hdl.handle.net/1721.1/120582 https://orcid.org/0000-0002-4373-9302 |
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author | Doyle, Joseph J |
author2 | Sloan School of Management |
author_facet | Sloan School of Management Doyle, Joseph J |
author_sort | Doyle, Joseph J |
collection | MIT |
description | This paper describes the use of instrumental-variables (IV) to estimate causal effects of foster care on long- and short-term outcomes. This estimation strategy provides a tool to evaluate what are known as "natural experiments": settings that mimic randomization usually associated with a controlled trial. The proposed natural experiment involves the effective randomization of investigators to child-protection cases. The results suggest that foster care placement increases like likelihood of delinquency and emergency healthcare episodes. Care must be taken when interpreting IV estimates. The results apply to cases that are part of the natural experiment-"marginal cases" where the investigators may disagree about the placement recommendation. Keywords: Foster care; Instrumental variables; Causal effects |
first_indexed | 2024-09-23T08:27:29Z |
format | Article |
id | mit-1721.1/120582 |
institution | Massachusetts Institute of Technology |
last_indexed | 2024-09-23T08:27:29Z |
publishDate | 2019 |
publisher | Elsevier BV |
record_format | dspace |
spelling | mit-1721.1/1205822022-09-23T12:41:32Z Causal effects of foster care: An instrumental-variables approach Doyle, Joseph J Sloan School of Management Doyle, Joseph J This paper describes the use of instrumental-variables (IV) to estimate causal effects of foster care on long- and short-term outcomes. This estimation strategy provides a tool to evaluate what are known as "natural experiments": settings that mimic randomization usually associated with a controlled trial. The proposed natural experiment involves the effective randomization of investigators to child-protection cases. The results suggest that foster care placement increases like likelihood of delinquency and emergency healthcare episodes. Care must be taken when interpreting IV estimates. The results apply to cases that are part of the natural experiment-"marginal cases" where the investigators may disagree about the placement recommendation. Keywords: Foster care; Instrumental variables; Causal effects National Science Foundation (U.S.) (Grant SES-0518757) 2019-02-28T19:27:53Z 2019-02-28T19:27:53Z 2011-03 2010-08 2019-02-07T19:12:07Z Article http://purl.org/eprint/type/JournalArticle 0190-7409 http://hdl.handle.net/1721.1/120582 Doyle, Joseph J. “Causal Effects of Foster Care: An Instrumental-Variables Approach.” Children and Youth Services Review 35, 7 (July 2013): 1143–1151 © 2011 Elsevier Ltd https://orcid.org/0000-0002-4373-9302 http://dx.doi.org/10.1016/j.childyouth.2011.03.014 Children and Youth Services Review Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier BV Other repository |
spellingShingle | Doyle, Joseph J Causal effects of foster care: An instrumental-variables approach |
title | Causal effects of foster care: An instrumental-variables approach |
title_full | Causal effects of foster care: An instrumental-variables approach |
title_fullStr | Causal effects of foster care: An instrumental-variables approach |
title_full_unstemmed | Causal effects of foster care: An instrumental-variables approach |
title_short | Causal effects of foster care: An instrumental-variables approach |
title_sort | causal effects of foster care an instrumental variables approach |
url | http://hdl.handle.net/1721.1/120582 https://orcid.org/0000-0002-4373-9302 |
work_keys_str_mv | AT doylejosephj causaleffectsoffostercareaninstrumentalvariablesapproach |