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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81 to 90 of 283 Results
Replication Data for: Effects of a large scale social media advertising campaign on holiday travel and COVID-19 infections: a cluster randomized controlled trial
Replication Data for: Effects of a large scale social media advertising campaign on holiday travel and COVID-19 infections: a cluster randomized controlled trial
Jul 28, 2021 - Harvard Dataverse
Emily Breza; Fatima Cody Stanford; Marcela Alsan; Burak Alsan; Abhijit Banerjee; Arun G. Chandrasekhar; Sarah Eichmeyer; Traci Glushko; Paul Goldsmith-Pinkham; Kelly Holland; Emily Hoppe; Mohit Karnani; Sarah Liegl; Tristan Loisel; Lucy Ogbu-Nwobodo; Benjamin A. Olken; Carlos Torres; Pierre-Luc Vautrey; Erica Warner; Susan Wootton; Esther Duflo, 2021, "Replication Data for: Effects of a large scale social media advertising campaign on holiday travel and COVID-19 infections: a cluster randomized controlled trial", https://doi.org/10.7910/DVN/4EK4KX, Harvard Dataverse, V1, UNF:6:+js3McbghfNjN85Un3sIGw== [fileUNF]
This package contains replication data for: "Doctors’ and Nurses’ Social Media Ads Reduced Holiday Travel and COVID-19 infections: A cluster randomized controlled trial in 13 States". It also contains the IRB protocol documents. It contains 9 datasets: -clean_cases.csv: zip level Covid-19 cases -county_covariates.dta: county level covariates -count...
Registrations in the AEA RCT Registry (2013-04 to 2021-07)
Jul 6, 2021 - AEA RCT Registry Dataverse
AEA RCT Registry, 2021, "Registrations in the AEA RCT Registry (2013-04 to 2021-07)", https://doi.org/10.7910/DVN/EXAZUR, Harvard Dataverse, V1, UNF:6:8IT5LSjDLDgalhQA3fhkXw== [fileUNF]
This dataset contains publicly available data on the American Economic Association's RCT registry downloaded July 6, 2021.
Registrations in the AEA RCT Registry (2013-04 to 2021-06)
Jun 7, 2021 - AEA RCT Registry Dataverse
AEA RCT Registry, 2021, "Registrations in the AEA RCT Registry (2013-04 to 2021-06)", https://doi.org/10.7910/DVN/XKPNVY, Harvard Dataverse, V1, UNF:6:DdklTsI/UuwcDzDaDsSUMQ== [fileUNF]
This dataset contains publicly available data on the American Economic Association's RCT registry downloaded June 7, 2021
Registrations in the AEA RCT Registry (2013-04 to 2021-05)
May 3, 2021 - AEA RCT Registry Dataverse
AEA RCT Registry, 2021, "Registrations in the AEA RCT Registry (2013-04 to 2021-05)", https://doi.org/10.7910/DVN/BVOKQ3, Harvard Dataverse, V1, UNF:6:Y0g1h63m6C2GWZ0IZC0uZQ== [fileUNF]
This dataset contains publicly available data on the American Economic Association's RCT registry downloaded May 3, 2021.
Replication Data for: Effect of Physician-delivered COVID-19 Public Health Messages and Messages Acknowledging Racial Inequity on Black and White Adults' Knowledge, Beliefs, and Practices Related to COVID-19: A Randomized Clinical Trial
Apr 28, 2021 - Harvard Dataverse
Carlos Torres; Lucy Ogbo-Nwobodo; Marcella Alsan; Fatima Cody Stanford; Abhijit Banerjee; Emily Breza; Arun G. Chandrasekhar; Sarah Eichmeyer; Mohit Karnani; Tristan Loisel; Paul Goldsmith-Pinkham; Benjamin A. Olken; Pierre-Luc Vautrey; Erica Warner; Esther Duflo, 2021, "Replication Data for: Effect of Physician-delivered COVID-19 Public Health Messages and Messages Acknowledging Racial Inequity on Black and White Adults' Knowledge, Beliefs, and Practices Related to COVID-19: A Randomized Clinical Trial", https://doi.org/10.7910/DVN/URX0UE, Harvard Dataverse, V1, UNF:6:MlywAusVWLjYZ3sHZLZOTw== [fileUNF]
This package contains replication data for: "Effect of Physician-delivered COVID-19 Public Health Messages and Messages Acknowledging Racial Inequity on Black and White Adults' Knowledge, Beliefs, and Practices Related to COVID-19: A Randomized Clinical Trial" The data includes 2 raw datasets (except for removing a Zip code variable for anonymity)...
Consumer Protection in Digital Finance Users Survey: Nigeria
Mar 30, 2021 - Innovations for Poverty Action Dataverse
Warren, Shana; Mazer, Rafe, 2021, "Consumer Protection in Digital Finance Users Survey: Nigeria", https://doi.org/10.7910/DVN/USMYWW, Harvard Dataverse, V1
Researchers at Innovations for Poverty Action conducted an in-person intercept survey among users of digital financial services (DFS), including mobile money, mobile banking, and mobile loans. The survey covered consumers' experiences with DFS, preferences over service providers and levels of trust, price awareness and transparency, fraud and dispu...
Research for Effective Covid-19 Response (RECOVR): Zambia
Research for Effective Covid-19 Response (RECOVR): Zambia
Mar 16, 2021 - Innovations for Poverty Action Dataverse
Collins, Elliott; Warren, Shana S.; Parkerson, Doug, 2020, "Research for Effective Covid-19 Response (RECOVR): Zambia", https://doi.org/10.7910/DVN/D6ZNLZ, 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): Côte d'Ivoire
Research for Effective Covid-19 Response (RECOVR): Côte d'Ivoire
Mar 16, 2021 - Innovations for Poverty Action Dataverse
Collins, Elliott; Warren, Shana S.; Parkerson, Doug, 2020, "Research for Effective Covid-19 Response (RECOVR): Côte d'Ivoire", https://doi.org/10.7910/DVN/UJQPGD, 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): Sierra Leone
Research for Effective Covid-19 Response (RECOVR): Sierra Leone
Mar 16, 2021 - Innovations for Poverty Action Dataverse
Collins, Elliott; Warren, Shana S.; Parkerson, Doug, 2020, "Research for Effective Covid-19 Response (RECOVR): Sierra Leone", https://doi.org/10.7910/DVN/KIPFWO, 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): Rwanda
Research for Effective Covid-19 Response (RECOVR): Rwanda
Mar 16, 2021 - Innovations for Poverty Action Dataverse
Collins, Elliott; Warren, Shana S.; Parkerson, Doug, 2020, "Research for Effective Covid-19 Response (RECOVR): Rwanda", https://doi.org/10.7910/DVN/RTMVNO, 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...
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