Innovations for Poverty Action Dataverse

Innovations for Poverty Action (IPA) is a research and policy nonprofit that discovers and promotes effective solutions to global poverty problems. IPA brings together researchers and decision-makers to design, rigorously evaluate, and refine these solutions and their applications, ensuring that the evidence created is used to improve the lives of the world’s poor. Learn more about our research transparency work at: poverty-action.org/research-transparency.

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31 to 40 of 199 Results

Research for Effective Covid-19 Response (RECOVR): Rwanda Mar 16, 2021 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...
Research for Effective Covid-19 Response (RECOVR): Burkina Faso Mar 15, 2021 Collins, Elliott; Warren, Shana S.; Parkerson, Doug, 2020, "Research for Effective Covid-19 Response (RECOVR): Burkina Faso", https://doi.org/10.7910/DVN/BGHJYK, 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): Colombia Mar 15, 2021 Collins, Elliott; Warren, Shana S.; Parkerson, Doug, 2020, "Research for Effective Covid-19 Response (RECOVR): Colombia", https://doi.org/10.7910/DVN/PAHU0X, 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...
Evaluation of a Combined Financial Incentives and Deposit Contract Intervention for Smoking Cessation: A Randomized Controlled Trial Mar 4, 2021 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...
Consumer Protection Survey of Digital Finance Users: Uganda Jan 28, 2021 Mazer, Rafe; Bird, Matthew, 2021, "Consumer Protection Survey of Digital Finance Users: Uganda", https://doi.org/10.7910/DVN/ROLCU4, Harvard Dataverse, V1 Researchers at Innovations for Poverty Action partnered with the Uganda Communications Commission (UCC) to conduct a phone-based 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,...
Consumer Protection Survey of Digital Finance Users: Kenya Jan 28, 2021 Mazer, Rafe; Warren, Shana, 2021, "Consumer Protection Survey of Digital Finance Users: Kenya", https://doi.org/10.7910/DVN/F8ZRPF, Harvard Dataverse, V1 Researchers at Innovations for Poverty Action partnered with the Competition Authority of Kenya (CAK) to conduct a phone-based 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, p...
Replication Data for: Gender Bias in Assessments of Teacher Performance Jan 27, 2021 - The Abdul Latif Jameel Poverty Action Lab Dataverse Sabrin Beg; Anne Fitzpatrick; Adrienne Lucas, 2021, "Replication Data for: Gender Bias in Assessments of Teacher Performance", https://doi.org/10.7910/DVN/YQXG6B, Harvard Dataverse, V1, UNF:6:WcUhRx3/YfveQXip0Pjjdg== [fileUNF] This package contains replication data for: "Gender Bias in Assessments of Teacher Performance." The package includes analysis data and replication files. The analysis datasets contain cleaned data from surveys given to teachers, head teachers, and students, as well as student assessments. The data was collected in 2 waves between 2017 and 2019 in...
Replication Data for: Educator Incentives and Educational Triage in Rural Primary Schools Jan 25, 2021 - The Abdul Latif Jameel Poverty Action Lab Dataverse Daniel O. Gilligan; Naureen Karachiwalla; Ibrahim Kasirye; Adrienne M. Lucas; Derek Neal, 2021, "Replication Data for: Educator Incentives and Educational Triage in Rural Primary Schools", https://doi.org/10.7910/DVN/FJOL7N, Harvard Dataverse, V1, UNF:6:9T9h8aWC5AXitExRjEjZPg== [fileUNF] This package contains replication data for: "Educator Incentives and Educational Triage in Rural Primary Schools." The package includes analysis data, questionnaires, and replication files. The analysis dataset contains data from 8 surveys and tests. Surveys were conducted in 3 rounds, with observations from March 2016 - October 2017. Some variable...
Replication Data for: Comparison of Knowledge and Information-Seeking Behavior After General COVID-19 Public Health Messages and Messages Tailored for Black and Latinx Communities: A randomized controlled trial Dec 12, 2020 - The Abdul Latif Jameel Poverty Action Lab Dataverse Marcella Alsan; Fatima Cody Stanford; Abhijit Banerjee; Emily Breza; Arun G. Chandrasekhar; Sarah Eichmeyer; Paul Goldsmith-Pinkham; Lucy Ogbu-Nwobodo; Benjamin A. Olken; Carlos Torres; Anirudh Sankar; Pierre-Luc Vautrey; Esther Duflo, 2020, "Replication Data for: Comparison of Knowledge and Information-Seeking Behavior After General COVID-19 Public Health Messages and Messages Tailored for Black and Latinx Communities: A randomized controlled trial", https://doi.org/10.7910/DVN/CJPVOD, Harvard Dataverse, V2 This package contains replication data for: "Comparison of knowledge and intended behaviors following general COVID-19 public health messages and messages tailored for African American and Latinx communities: A randomized controlled trial." The data includes 1 raw dataset (except for removing a Zip code variable, as well as a free-response to prior...
Raw and Replication Data for: 'From Proof of Concept to Scalable Policies' and 'Mainstreaming an Effective Intervention' Nov 6, 2020 - The Abdul Latif Jameel Poverty Action Lab Dataverse Banerjee, Abhijit; Banerji, Rukmini; Duflo, Esther; Kannan, Harini; Mukerji, Shobhini; Shotland, Marc; Berry, James; Walton, Michael, 2017, "Raw and Replication Data for: 'From Proof of Concept to Scalable Policies' and 'Mainstreaming an Effective Intervention'", https://doi.org/10.7910/DVN/DUBA3J, Harvard Dataverse, V7, UNF:6:6Ch1ala9EZ8xITxlcjRckg== [fileUNF] Raw datasets and programs creating tables for the papers "From Proof of Concept to Scalable Policies: Challenges and Solutions, with an Application" and "Mainstreaming an Effective Intervention: Evidence from Randomized Evaluations of 'Teaching at the Right Level' in India."

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

Mar 16, 2021

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...

Research for Effective Covid-19 Response (RECOVR): Burkina Faso

Mar 15, 2021

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

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

Mar 15, 2021

Collins, Elliott; Warren, Shana S.; Parkerson, Doug, 2020, "Research for Effective Covid-19 Response (RECOVR): Colombia", https://doi.org/10.7910/DVN/PAHU0X, Harvard Dataverse, V2

Evaluation of a Combined Financial Incentives and Deposit Contract Intervention for Smoking Cessation: A Randomized Controlled Trial

Mar 4, 2021

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...

Consumer Protection Survey of Digital Finance Users: Uganda

Jan 28, 2021

Mazer, Rafe; Bird, Matthew, 2021, "Consumer Protection Survey of Digital Finance Users: Uganda", https://doi.org/10.7910/DVN/ROLCU4, Harvard Dataverse, V1

Researchers at Innovations for Poverty Action partnered with the Uganda Communications Commission (UCC) to conduct a phone-based 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,...

Consumer Protection Survey of Digital Finance Users: Kenya

Jan 28, 2021

Mazer, Rafe; Warren, Shana, 2021, "Consumer Protection Survey of Digital Finance Users: Kenya", https://doi.org/10.7910/DVN/F8ZRPF, Harvard Dataverse, V1

Researchers at Innovations for Poverty Action partnered with the Competition Authority of Kenya (CAK) to conduct a phone-based 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, p...

Replication Data for: Gender Bias in Assessments of Teacher Performance

Jan 27, 2021 - The Abdul Latif Jameel Poverty Action Lab Dataverse

Sabrin Beg; Anne Fitzpatrick; Adrienne Lucas, 2021, "Replication Data for: Gender Bias in Assessments of Teacher Performance", https://doi.org/10.7910/DVN/YQXG6B, Harvard Dataverse, V1, UNF:6:WcUhRx3/YfveQXip0Pjjdg== [fileUNF]

This package contains replication data for: "Gender Bias in Assessments of Teacher Performance." The package includes analysis data and replication files. The analysis datasets contain cleaned data from surveys given to teachers, head teachers, and students, as well as student assessments. The data was collected in 2 waves between 2017 and 2019 in...

Replication Data for: Educator Incentives and Educational Triage in Rural Primary Schools

Jan 25, 2021 - The Abdul Latif Jameel Poverty Action Lab Dataverse

Daniel O. Gilligan; Naureen Karachiwalla; Ibrahim Kasirye; Adrienne M. Lucas; Derek Neal, 2021, "Replication Data for: Educator Incentives and Educational Triage in Rural Primary Schools", https://doi.org/10.7910/DVN/FJOL7N, Harvard Dataverse, V1, UNF:6:9T9h8aWC5AXitExRjEjZPg== [fileUNF]

This package contains replication data for: "Educator Incentives and Educational Triage in Rural Primary Schools." The package includes analysis data, questionnaires, and replication files. The analysis dataset contains data from 8 surveys and tests. Surveys were conducted in 3 rounds, with observations from March 2016 - October 2017. Some variable...

Replication Data for: Comparison of Knowledge and Information-Seeking Behavior After General COVID-19 Public Health Messages and Messages Tailored for Black and Latinx Communities: A randomized controlled trial

Dec 12, 2020 - The Abdul Latif Jameel Poverty Action Lab Dataverse

Marcella Alsan; Fatima Cody Stanford; Abhijit Banerjee; Emily Breza; Arun G. Chandrasekhar; Sarah Eichmeyer; Paul Goldsmith-Pinkham; Lucy Ogbu-Nwobodo; Benjamin A. Olken; Carlos Torres; Anirudh Sankar; Pierre-Luc Vautrey; Esther Duflo, 2020, "Replication Data for: Comparison of Knowledge and Information-Seeking Behavior After General COVID-19 Public Health Messages and Messages Tailored for Black and Latinx Communities: A randomized controlled trial", https://doi.org/10.7910/DVN/CJPVOD, Harvard Dataverse, V2

This package contains replication data for: "Comparison of knowledge and intended behaviors following general COVID-19 public health messages and messages tailored for African American and Latinx communities: A randomized controlled trial." The data includes 1 raw dataset (except for removing a Zip code variable, as well as a free-response to prior...

Raw and Replication Data for: 'From Proof of Concept to Scalable Policies' and 'Mainstreaming an Effective Intervention'

Nov 6, 2020 - The Abdul Latif Jameel Poverty Action Lab Dataverse

Banerjee, Abhijit; Banerji, Rukmini; Duflo, Esther; Kannan, Harini; Mukerji, Shobhini; Shotland, Marc; Berry, James; Walton, Michael, 2017, "Raw and Replication Data for: 'From Proof of Concept to Scalable Policies' and 'Mainstreaming an Effective Intervention'", https://doi.org/10.7910/DVN/DUBA3J, Harvard Dataverse, V7, UNF:6:6Ch1ala9EZ8xITxlcjRckg== [fileUNF]

Raw datasets and programs creating tables for the papers "From Proof of Concept to Scalable Policies: Challenges and Solutions, with an Application" and "Mainstreaming an Effective Intervention: Evidence from Randomized Evaluations of 'Teaching at the Right Level' in India."

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