Cited by 24Health disparities and outcomesIntergenerational and Educational Inequality StudiesSocial Policies and Family

Social Policy: Targeting programmes effectively

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Heckman, James J., García, Jorge Luís·2017·Nature Human Behaviour

Abstract

By linking data from a 40-year birth cohort study with multiple administrative databases, Caspi and colleagues show that 20% of the population accounts for 60% - 80% of several adult social ills. Outcomes for this group can be accurately predicted from as early as age 3, using a small set of indicators of disadvantage. This finding supports policies that target children from disadvantaged families and complements recent literature on the life-cycle benefits of early childhood programmes.

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References 10 · Cited by 24

Authors
Heckman, J. J., & García, J. L.
Affiliations
American Bar Foundation (US)
Corresponding author
Heckman, James J.
Venue
Nature Human Behaviour
Published
2017-01-10
Volume
1
Issue
1
ISSN
2397-3374 (ISSN-L)
OpenAlex
W2569306142
Cited by
24
References
10
Citations by year
2026: 1 · 2025: 3 · 2023: 2 · 2022: 4 · 2021: 5 · 2020: 3 · 2019: 4 · 2018: 1 · 2016: 1
FWCI
2.43
Type
journal article
Language
en
Open access
Locations
  • Nature Human Behaviour (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
  • National Institute on Aging (R24AG048081)
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (R37HD065072, R01HD054702)
Topics
  • Social Sciences › Health › Health disparities and outcomes
  • Social Sciences › Sociology and Political Science › Intergenerational and Educational Inequality Studies
  • Social Sciences › Sociology and Political Science › Social Policies and Family
Keywords
social policy targeting, birth cohort studies, administrative data linkage, social deprivation, early childhood programs, child poverty

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