Datahub for Field Experiments in Economics and Public Policy

This repository contains mostly data from randomized experiments in the social sciences, including data from studies run by researchers associated with Innovations for Poverty Action (IPA) and the Abdul Latif Jameel Poverty Action Lab (J-PAL). Data, statistical code underlying published research results, surveys, and documentation are included. To download all materials from a study, locate the zip folder called "Dataverse materials" within each study. Each organization is responsible for curating and managing their own data. Contact for questions/comments: IPA (transparency@poverty-action.org) or J-PAL (data@povertyactionlab.org).

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111 to 120 of 286 Results

Replication Data for: 'Randomizing Religion: The Impact of Protestant Evangelism on Economic Outcomes' Aug 27, 2020 - The Quarterly Journal of Economics Dataverse Bryan, Gharad; Choi, James J.; Karlan, Dean, 2020, "Replication Data for: 'Randomizing Religion: The Impact of Protestant Evangelism on Economic Outcomes'", https://doi.org/10.7910/DVN/RNGHDV, Harvard Dataverse, V3 The data and programs replicate tables and figures from "Randomizing Religion: The Impact of Protestant Evangelism on Economic Outcomes", by Bryan, Choi, and Karlan. Please see the ReadMe file for additional details.
Randomizing Religion: The Impact of Protestant Evangelism on Economic Outcomes Aug 27, 2020 - Innovations for Poverty Action Dataverse Bryan, Gharad; Choi, James J.; Karlan, Dean, 2020, "Randomizing Religion: The Impact of Protestant Evangelism on Economic Outcomes", https://doi.org/10.7910/DVN/6WOMEU, Harvard Dataverse, V2 We study the causal impact of religiosity through a randomised evaluation of an evangelical Protestant Christian values and theology education program delivered to thousands of ultra-poor Filipino households. Six months after the program ended, treated households have higher religiosity and income; no statistically significant differences in total...
Land Rights in Transition: Preliminary experimental evidence on how changes in formal tenure affect agricultural outcomes, perceptions, and decision-making in the Philippines Aug 24, 2020 - Innovations for Poverty Action Dataverse Castro Zarzur, Rosa; Gordoncillo, Prudenciano; Gunnsteinsson, Snaebjorn; Jarvis, Forest; Johnson, Hilary C.; Perova, Elizaveta; Srouji, Peter, 2020, "Land Rights in Transition: Preliminary experimental evidence on how changes in formal tenure affect agricultural outcomes, perceptions, and decision-making in the Philippines", https://doi.org/10.7910/DVN/2LYWNU, Harvard Dataverse, V1 Under political pressure to hasten the Philippine Comprehensive Agrarian Reform Program's land acquisition and distribution process, the Department of Agrarian Reform (DAR) redistributed land in bundles by awarding groups of farmers collective titles. While issued under a strong political rationale, these awarded lands are handicapped in terms of t...
Research for Effective Covid-19 Response (RECOVR): Mexico City Aug 7, 2020 - Innovations for Poverty Action Dataverse Collins, Elliott; Warren, Shana S.; Parkerson, Doug, 2020, "Research for Effective Covid-19 Response (RECOVR): Mexico City", https://doi.org/10.7910/DVN/NBGEL0, Harvard Dataverse, V2 Tracking how people’s lives are affected by the COVID-19 pandemic can enable policymakers to better understand the situation in their countries and make data-driven policy decisions. To respond to this need, IPA implemented the RECOVR panel survey to facilitate comparisons, document real-time trends of policy concern, and inform decision-makers abo...
Research for Effective Covid-19 Response (RECOVR): Ghana Aug 3, 2020 - Innovations for Poverty Action Dataverse Collins, Elliott; Warren, Shana S.; Parkerson, Doug, 2020, "Research for Effective Covid-19 Response (RECOVR): Ghana", https://doi.org/10.7910/DVN/QWLV0M, Harvard Dataverse, V1 Tracking how people’s lives are affected by the COVID-19 pandemic can enable policymakers to better understand the situation in their countries and make data-driven policy decisions. To respond to this need, IPA implemented the RECOVR panel survey to facilitate comparisons, document real-time trends of policy concern, and inform decision-makers abo...
Research for Effective Covid-19 Response (RECOVR): Philippines Aug 3, 2020 - Innovations for Poverty Action Dataverse Collins, Elliott; Warren, Shana S.; Parkerson, Doug, 2020, "Research for Effective Covid-19 Response (RECOVR): Philippines", https://doi.org/10.7910/DVN/W7OBKB, Harvard Dataverse, V1 Tracking how people’s lives are affected by the COVID-19 pandemic can enable policymakers to better understand the situation in their countries and make data-driven policy decisions. To respond to this need, IPA implemented the RECOVR panel survey to facilitate comparisons, document real-time trends of policy concern, and inform decision-makers abo...
Registrations in the AEA RCT Registry (2013-04 to 2020-08) Aug 3, 2020 - AEA RCT Registry Dataverse AEA RCT Registry, 2020, "Registrations in the AEA RCT Registry (2013-04 to 2020-08)", https://doi.org/10.7910/DVN/RJEWSS, Harvard Dataverse, V1, UNF:6:WLwqi68U79xNRNEyemA2Zw== [fileUNF] This dataset contains publicly available data on the American Economic Association's RCT registry downloaded August 3, 2020.
Profitability of Fertilizer: Experimental Evidence from Female Rice Farmers in Mali Jul 14, 2020 - Innovations for Poverty Action Dataverse Beaman, Lori; Karlan, Dean; Thuysbaert, Bram; Udry, Christopher, 2020, "Profitability of Fertilizer: Experimental Evidence from Female Rice Farmers in Mali", https://doi.org/10.7910/DVN/H3ITOI, Harvard Dataverse, V2 We conducted an experiment providing fertilizer grants to female rice farmers in Mali. We found that women who received fertilizer used both more fertilizer and more complementary inputs such as herbicides and hired labor. This shows that farmers respond to an increase in one input by re-optimizing other inputs. Second, while the increase in inputs...
Registrations in the AEA RCT Registry (2013-04 to 2020-07) Jul 6, 2020 - AEA RCT Registry Dataverse AEA RCT Registry, 2020, "Registrations in the AEA RCT Registry (2013-04 to 2020-07)", https://doi.org/10.7910/DVN/VSJG92, Harvard Dataverse, V1, UNF:6:AuzvSahq5ADETy1LvNfIfg== [fileUNF] This dataset contains publicly available data on the American Economic Association's RCT registry downloaded July 6, 2020.
Replication Data for: Cash for Carbon: A Randomized Trial of Payments for Ecosystem Services to Reduce Deforestation Jun 18, 2020 - Harvard Dataverse Jayachandran, Seema, 2017, "Replication Data for: Cash for Carbon: A Randomized Trial of Payments for Ecosystem Services to Reduce Deforestation", https://doi.org/10.7910/DVN/MGMDYN, Harvard Dataverse, V4, UNF:6:4BvlCNMCOR5ZGH76jFodCA== [fileUNF] This dataset includes survey and remote-sensed data at the forest-owner and village level. Village names and GPS coordinates are excluded for confidentiality reasons.

Replication Data for: 'Randomizing Religion: The Impact of Protestant Evangelism on Economic Outcomes'

Aug 27, 2020 - The Quarterly Journal of Economics Dataverse

Bryan, Gharad; Choi, James J.; Karlan, Dean, 2020, "Replication Data for: 'Randomizing Religion: The Impact of Protestant Evangelism on Economic Outcomes'", https://doi.org/10.7910/DVN/RNGHDV, Harvard Dataverse, V3

The data and programs replicate tables and figures from "Randomizing Religion: The Impact of Protestant Evangelism on Economic Outcomes", by Bryan, Choi, and Karlan. Please see the ReadMe file for additional details.

Randomizing Religion: The Impact of Protestant Evangelism on Economic Outcomes

Aug 27, 2020 - Innovations for Poverty Action Dataverse

Bryan, Gharad; Choi, James J.; Karlan, Dean, 2020, "Randomizing Religion: The Impact of Protestant Evangelism on Economic Outcomes", https://doi.org/10.7910/DVN/6WOMEU, Harvard Dataverse, V2

We study the causal impact of religiosity through a randomised evaluation of an evangelical Protestant Christian values and theology education program delivered to thousands of ultra-poor Filipino households. Six months after the program ended, treated households have higher religiosity and income; no statistically significant differences in total...

Land Rights in Transition: Preliminary experimental evidence on how changes in formal tenure affect agricultural outcomes, perceptions, and decision-making in the Philippines

Aug 24, 2020 - Innovations for Poverty Action Dataverse

Castro Zarzur, Rosa; Gordoncillo, Prudenciano; Gunnsteinsson, Snaebjorn; Jarvis, Forest; Johnson, Hilary C.; Perova, Elizaveta; Srouji, Peter, 2020, "Land Rights in Transition: Preliminary experimental evidence on how changes in formal tenure affect agricultural outcomes, perceptions, and decision-making in the Philippines", https://doi.org/10.7910/DVN/2LYWNU, Harvard Dataverse, V1

Under political pressure to hasten the Philippine Comprehensive Agrarian Reform Program's land acquisition and distribution process, the Department of Agrarian Reform (DAR) redistributed land in bundles by awarding groups of farmers collective titles. While issued under a strong political rationale, these awarded lands are handicapped in terms of t...

Research for Effective Covid-19 Response (RECOVR): Mexico City

Aug 7, 2020 - Innovations for Poverty Action Dataverse

Collins, Elliott; Warren, Shana S.; Parkerson, Doug, 2020, "Research for Effective Covid-19 Response (RECOVR): Mexico City", https://doi.org/10.7910/DVN/NBGEL0, Harvard Dataverse, V2

Tracking how people’s lives are affected by the COVID-19 pandemic can enable policymakers to better understand the situation in their countries and make data-driven policy decisions. To respond to this need, IPA implemented the RECOVR panel survey to facilitate comparisons, document real-time trends of policy concern, and inform decision-makers abo...

Research for Effective Covid-19 Response (RECOVR): Ghana

Aug 3, 2020 - Innovations for Poverty Action Dataverse

Collins, Elliott; Warren, Shana S.; Parkerson, Doug, 2020, "Research for Effective Covid-19 Response (RECOVR): Ghana", https://doi.org/10.7910/DVN/QWLV0M, Harvard Dataverse, V1

Research for Effective Covid-19 Response (RECOVR): Philippines

Aug 3, 2020 - Innovations for Poverty Action Dataverse

Collins, Elliott; Warren, Shana S.; Parkerson, Doug, 2020, "Research for Effective Covid-19 Response (RECOVR): Philippines", https://doi.org/10.7910/DVN/W7OBKB, Harvard Dataverse, V1

Registrations in the AEA RCT Registry (2013-04 to 2020-08)

Aug 3, 2020 - AEA RCT Registry Dataverse

AEA RCT Registry, 2020, "Registrations in the AEA RCT Registry (2013-04 to 2020-08)", https://doi.org/10.7910/DVN/RJEWSS, Harvard Dataverse, V1, UNF:6:WLwqi68U79xNRNEyemA2Zw== [fileUNF]

This dataset contains publicly available data on the American Economic Association's RCT registry downloaded August 3, 2020.

Profitability of Fertilizer: Experimental Evidence from Female Rice Farmers in Mali

Jul 14, 2020 - Innovations for Poverty Action Dataverse

Beaman, Lori; Karlan, Dean; Thuysbaert, Bram; Udry, Christopher, 2020, "Profitability of Fertilizer: Experimental Evidence from Female Rice Farmers in Mali", https://doi.org/10.7910/DVN/H3ITOI, Harvard Dataverse, V2

We conducted an experiment providing fertilizer grants to female rice farmers in Mali. We found that women who received fertilizer used both more fertilizer and more complementary inputs such as herbicides and hired labor. This shows that farmers respond to an increase in one input by re-optimizing other inputs. Second, while the increase in inputs...

Registrations in the AEA RCT Registry (2013-04 to 2020-07)

Jul 6, 2020 - AEA RCT Registry Dataverse

AEA RCT Registry, 2020, "Registrations in the AEA RCT Registry (2013-04 to 2020-07)", https://doi.org/10.7910/DVN/VSJG92, Harvard Dataverse, V1, UNF:6:AuzvSahq5ADETy1LvNfIfg== [fileUNF]

This dataset contains publicly available data on the American Economic Association's RCT registry downloaded July 6, 2020.

Replication Data for: Cash for Carbon: A Randomized Trial of Payments for Ecosystem Services to Reduce Deforestation

Jun 18, 2020 - Harvard Dataverse

Jayachandran, Seema, 2017, "Replication Data for: Cash for Carbon: A Randomized Trial of Payments for Ecosystem Services to Reduce Deforestation", https://doi.org/10.7910/DVN/MGMDYN, Harvard Dataverse, V4, UNF:6:4BvlCNMCOR5ZGH76jFodCA== [fileUNF]

This dataset includes survey and remote-sensed data at the forest-owner and village level. Village names and GPS coordinates are excluded for confidentiality reasons.

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