11 to 20 of 198 Results
Ganimian, Alejandro; Muralidharan, Karthik; Walters, Christopher, 2020, "Improving child health outcomes through Integrated Child Development Services (ICDS) in Tamil Nadu", https://doi.org/10.7910/DVN/6QP4OS, Harvard Dataverse, V6, UNF:6:0TjZM5RBnjk+nVSb+mDbzA== [fileUNF]
The package contains data used in a randomized control trial aimed at improving health and nutrition for children ages 3-6 served by the Integrated Child Development Services (ICDS) in Tamil Nadu, India. There are 7 datasets containing data from 6 survey rounds. |
Karthik Muralidharan; Paul Niehaus; Sandip Sukhtankar; Jeffrey Weaver, 2021, "Data for the "Targeted Unconditional Framed Cash Transfers for Early Childhood Health and Nutrition Outcomes" project", https://doi.org/10.7910/DVN/VAFYV1, Harvard Dataverse, V5, UNF:6:Z3flQeyQU4wx/I/5YWw93g== [fileUNF]
This package contains data for the RCT "Targeted Unconditional Framed Cash Transfers for Early Childhood Health and Nutrition Outcomes." The package includes data from the first two phases of the trial, conducted between September 2018 and December 2019 in 8 districts in a single Indian state. The datasets contain cleaned data from surveys given at... |
Esther Duflo; Abhijit Banerjee; Madeline McKelway; Frank Schilbach; Garima Sharma; Girija Vaidyanathan, 2022, "Tamil Nadu Aging Panel", https://doi.org/10.7910/DVN/SXEYFW, Harvard Dataverse, V10, UNF:6:CjZ32wP6uOhj8pkiN15eWw== [fileUNF]
This repository contains data from the Tamil Nadu Aging Panel; specifically, it currently contains baseline and Wave 1 data collected on a sample of 6,294 elderly persons aged 55+ in Tamil Nadu, India from January 2019 to 2022. The data is part of an ongoing panel, which will be conducted in two additional waves through 2026. The panel is being con... |
Nov 21, 2022 - The Abdul Latif Jameel Poverty Action Lab Dataverse
Ji, Yunan; Einav, Liran; Mahoney, Neale; Finkelstein, Amy, 2022, "Replication Code for: Financial Incentives to Facilities and Clinicians Treating Patients with End-Stage Kidney Disease and Use of Home Dialysis", https://doi.org/10.7910/DVN/NAXDC8, Harvard Dataverse, V1
The replication package contains code to replicate tables and figures from "Financial Incentives to Facilities and Clinicians Treating Patients with End-Stage Kidney Disease and Use of Home Dialysis" by Ji, Einav, Mahoney, and Finkelstein (2022). Data is not included in this package as the data must be requested directly from Medicare. Please see t... |
Finkelstein, Amy; Zhou, Annetta; Taubman, Sarah; Doyle, Joseph, 2020, "Replication Data for: Health Care Hotspotting — A Randomized, Controlled Trial", https://doi.org/10.7910/DVN/ZJVVQZ, Harvard Dataverse, V2, UNF:6:VcDwEmj1RmT7fw0Z5SHEVQ== [fileUNF]
The replication package contains code and data to replicate tables and figures from "Health Care Hotspotting — A Randomized, Controlled Trial," by Finkelstein, Zhou, Taubman, and Doyle. Please see the Readme file for additional details. |
Jun 2, 2022 - The Abdul Latif Jameel Poverty Action Lab Dataverse
Islam, Mahnaz; Beg, Sabrin, 2022, "Replication Data for: 'Rule-of-Thumb Instructions to Improve Fertilizer Management: Experimental Evidence from Bangladesh'", https://doi.org/10.7910/DVN/3ROR22, Harvard Dataverse, V1, UNF:6:ToZD7rYvqPCqcPvPDC1y8g== [fileUNF]
This repository contains data used in "Rule-of-Thumb Instructions to Improve Fertilizer Management: Experimental Evidence from Bangladesh," an RCT studying the effects of leaf color charts and basic rule-of-thumb instructions on fertilizer use in 105 villages in rural Bangladesh. Specifically, it contains data on from three rounds of surveys: a bas... |
May 3, 2022
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... |
Dupas, Pascaline; Jain, Radhika, 2022, "Interventions to Improve Child Utilization of Government Health Insurance in Rajasthan", https://doi.org/10.7910/DVN/AMCVNS, Harvard Dataverse, V1, UNF:6:6fhq8Cy/4TDWmnHcIXn3PQ== [fileUNF]
This package contains data for a project studying barriers to utilization of government health insurance, particularly for women and children, among households eligible and enrolled in Rajasthan's Bhamashah Swasthya Bima Yojana (BSBY) health insurance program. |
Apr 1, 2022
Duflo, Esther; Dupas, Pascaline; Kremer, Michael, 2015, "Ghana Youth Survey (GYS)", https://doi.org/10.7910/DVN/CHNG59, Harvard Dataverse, V3, UNF:6:ouJxzlh91qPUrDgX5lGwPQ== [fileUNF]
This repository contains data from the Ghana Youth Survey (GYS); specifically, it contains data collected on a sample of 2,064 youths in Ghana over six rounds from 2008 to 2020. The data was collected as part of a randomized trial aiming to measure the returns to secondary education. The treatment status of individuals in the sample has been remove... |
Nov 1, 2021
Yang, Dean; Arcangelis, Giuseppe D., 2021, "The Impacts of Labeling Remittances on Migrants and Their Households in the Philippines", https://doi.org/10.7910/DVN/PCMAWS, Harvard Dataverse, V3
Remittances are one of the largest sources of financial flows to low- and middle-income countries, and researchers and decision-makers are interested in ways to increase their development impact. One promising approach is enabling migrants to label the remittances that they send home for a specific purpose, such as education or business activities.... |
