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1 to 10 of 52 Results
Apr 10, 2024 - Harvard Dataverse
Karlan, Dean, 2024, "Replication Data: Improving Smallholder Agriculture via Video-Based Group Extension", https://doi.org/10.7910/DVN/EX9FU1, Harvard Dataverse, V1
Data and code accompanying the following paper. See Readme.txt for full directions to replicate tables and figures in: Improving smallholder agriculture via video-based group extension Journal of Development Economics Volume 169, June 2024, 103267
May 16, 2023 - Review of Economics and Statistics Dataverse
Horn, Samantha; Jamison, Julian; Karlan, Dean; Zinman, Jonathan, 2023, "Replication data for: Five-year Impacts of Group-based Financial Education and Savings Promotion for Ugandan Youth", https://doi.org/10.7910/DVN/MA31ZM, Harvard Dataverse, V1
Review of Economics and Statistics: Forthcoming
May 15, 2023 - Harvard Dataverse
Baldwin, Kate; Karlan, Dean; Udry, Christopher; Appiah, Ernest, 2023, "Replication Data for: How political insiders lose out when international aid underperforms: Evidence from a participatory development experiment in Ghana", https://doi.org/10.7910/DVN/L0I9HW, Harvard Dataverse, V1, UNF:6:qv4TnS3PzLGnFskiBeTwHg== [fileUNF]
Although participatory development often aims specifically to mitigate problems from political biases and party-based clientelism, the path is complicated and depends critically on the efficacy of underlying programs as well as how they interact with pre-existing institutions. We provide a framework to understand when participatory development is l...
Mar 8, 2023 - Review of Financial Studies Dataverse
Burke, Jeremy; Jamison, Julian; Karlan, Dean; Mihaly, Kata; Zinman, Jonathan, 2023, "Replication Codes for: Credit Building or Credit Crumbling? A Credit Builder Loan’s Effects on Consumer Behavior and Market Efficiency in the United States", https://doi.org/10.7910/DVN/XXT0GR, Harvard Dataverse, V1
A randomized encouragement design yields null average effects of a credit builder loan (CBL) on consumer credit scores. But machine learning algorithms indicate the nulls are due to stark, offsetting treatment effects depending on baseline installment credit activity. Delinquency on preexisting loan obligations drives the negative effects, suggesti...
May 3, 2022 - Innovations for Poverty Action Dataverse
Banerjee, Abhijit; Karlan, Dean; Osei, Robert; Trachtman, Hannah; Udry, Christopher, 2022, "Unpacking a multi-faceted program to build sustainable income for the very poor", https://doi.org/10.7910/DVN/AY2MMB, Harvard Dataverse, V1
A multi-faceted program comprising a grant of productive assets, training, unconditional cash transfers, coaching, and savings has been found to build sustainable income for those in extreme poverty. We focus on two important questions: whether a mere grant of productive assets would generate similar impacts (it does not), and whether access to a s...
Dec 15, 2021 - Harvard Dataverse
Brune, Lasse; Karlan, Dean; Kurdi, Sikandra; Udry, Christopher, 2021, "Replication Data for: Social protection amidst social upheaval: Examining the impact of a multi-faceted program for ultra-poor households in Yemen", https://doi.org/10.7910/DVN/5NM88Z, Harvard Dataverse, V1, UNF:6:KPZx4eMDZHHBJQeCCCCPmg== [fileUNF]
Social protection programs are needed more than ever during periods of social upheaval, but are also likely to be even harder to implement successfully. Furthermore, social upheaval makes measuring the impact of such policies all the more difficult. We study the impact of a multi-faceted social protection program, often referred to as a “Graduation...
Sep 27, 2021 - Harvard Dataverse
Osman, Adam; Karlan, Dean; Zinman, Jonathan, 2021, "Replication Data for: Dangers of a double-bottom line: A poverty targeting experiment misses both targets", https://doi.org/10.7910/DVN/A2KSIV, Harvard Dataverse, V1, UNF:6:IGiMbavOdbFySN5zm+TdhQ== [fileUNF]
These data and code reproduce the analysis in "Dangers of a double-bottom line: A poverty targeting experiment misses both targets", by Dean Karlan, Adam Osman & Jonathan Zinman, Journal of Economics & Management and Strategy, forthcoming (2021)
Mar 4, 2021 - Innovations for Poverty Action Dataverse
Anderson, Daren R.; Horn, Samantha; Karlan, Dean; Kowalski, Amanda E.; Sindelar, Jody L.; Zinman, Jonathan, 2021, "Evaluation of a Combined Financial Incentives and Deposit Contract Intervention for Smoking Cessation: A Randomized Controlled Trial", https://doi.org/10.7910/DVN/T2HN28, Harvard Dataverse, V1
The objective of this study is to evaluate whether a combination of financial incentives and deposit contracts improves cessation among low- to moderate-income smokers. The estimated treatment effects on cessation are positive, but imprecise, with confidence intervals containing effect sizes estimated by prior studies of financial incentives alone...
Oct 28, 2020 - Innovations for Poverty Action Dataverse
Berry, James; Karlan, Dean; Pradhan, Menno, 2020, "The Impact of Financial Education for Youth in Ghana", https://doi.org/10.7910/DVN/GDP2YP, Harvard Dataverse, V1
Governments and non-governmental organizations promote school-based financial literacy programs as means to instill financial behaviors that can persist through adulthood. We conduct a randomized trial of two financial literacy education programs in government-run Ghanaian primary and junior high schools. The first integrated both financial and soc...
Oct 7, 2020 - Innovations for Poverty Action Dataverse
Karlan, Dean; List, John A., 2020, "How Can Bill and Melinda Gates Increase Other People's Donations to Fund Public Goods?", https://doi.org/10.7910/DVN/MX3NS6, Harvard Dataverse, V1
We conducted a fundraising experiment with an international development nonprofit organisation in which a matching grant offered by the Bill and Melinda Gates Foundation raised more funds than from an anonymous donor. The effect is strongest for solicitees who previously gave to other BMGF-supported, poverty charities. With supporting evidence from...
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