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Title: Sustainable Transformation for Youth in Liberia

Type Dataset Blattman, Christopher, Jamison, Julian, Koroknay-Palicz, Tricia, Rodrigues, Katherine, Sheridan, Margaret (2017): Sustainable Transformation for Youth in Liberia. Harvard Dataverse. Dataset. https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/CORNOC

Authors: Blattman, Christopher (Columbia University) ; Jamison, Julian (The World Bank) ; Koroknay-Palicz, Tricia (The World Bank) ; Rodrigues, Katherine (International Rescue Committee) ; Sheridan, Margaret (University of North Carolina at Chapel Hill) ; Research Transparency, Data Ethics, and Governance (Innovations for Poverty Action) ;

Links

Summary

In many fragile states, poor young men with limited economic opportunities drive high rates of crime and violence, and are easily mobilized into destructive activities such as rioting and rebellion. A large body of largely observational evidence in psychology research in the United States demonstrates that cognitive behavior therapy (CBT), a therapeutic approach to improving a wide range of harmful beliefs and behaviors, is an effective way to reduce violence and criminality among children and adolescents. To understand the potential effectiveness of CBT among adults in fragile states, researchers evaluated the impact of a short-term CBT program and the distribution of unconditional cash transfers on the behavior of high-risk young men in Liberia. Results demonstrate that CBT reduced criminal behavior and improved self-control and self-image among participants; these results were greater for participants who received both CBT and cash grants, but cash grants alone had no impact.

More information

  • DOI: 10.7910/DVN/CORNOC

Subjects

  • Social Sciences, Peace & Recovery, Cash Transfers, Savings, Training, Ultra Poor, Time Allocation, Labor Supply, Microeconomic Analyses, Economic Development, Illegal Behavior, Enforcement of Law, Behavioral Microeconomics

Dates

  • Publication date: 2017
  • Submitted: May 27, 2017
  • Updated: November 13, 2019
  • Collected: 2009 to 2012

Notes

Datacite resource type: Surveys, Laboratory games, Direct observations, and Randomly Selected In-Depth Interviews, Community-Based Surveys TechnicalInfo: Stata, 13

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Funding Information

AwardnumberAwarduriFunderidentifierFunderidentifiertypeFundername
National Science Foundation
The World Bank LOGiCA Trust Fund
The GLM/LIC Programme of DFID and IZA
Vanguard Charitable Trust
The American People through the United States Agency for International Developmentā€™s (USAID) DCHA/CMM

Format

electronic resource