21 to 30 of 199 Results
Oct 5, 2021
Baird, Sarah; Davis, C. Austin; Genoni, Maria; Lopez-Pena, Paula; Mobarak, Ahmed Mushfiq; Palaniswamy, Nethra; Seager, Jennifer; Vishwanath, Tara, 2021, "Cox's Bazar Panel Survey", https://doi.org/10.7910/DVN/V614VB, Harvard Dataverse, V2
Across the world, the number of migrants displaced by civil conflict is on the rise. Recent estimates suggest that nearly 65.6 million people have been forcibly displaced within their own countries or across borders, and that most of them (84 percent) are living in developing countries (UNHCR 2017). Despite the persistence and scale of this displac... |
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) |
Sep 7, 2021 - The Abdul Latif Jameel Poverty Action Lab Dataverse
Cai, Jing; De Janvry, Alain; Sadoulet, Elisabeth, 2018, "Replication Data for: Social Networks and the Decision to Insure", https://doi.org/10.7910/DVN/CXDJM0, Harvard Dataverse, V2, UNF:6:pkcatfVG+/fnlB8jHPa0Bw== [fileUNF]
Using data from a randomized experiment in rural China, we study the influence of social networks on weather insurance adoption and the mechanisms through which they operate. To quantify network effects, the experiment provides intensive information sessions about the product to a random subset of farmers. For untreated farmers, the effect of havin... |
Jayachandran, Seema; Kala, Namrata; Pande, Rohini; Jack, Kelsey, 2021, "Paying Farmers Not to Burn: A Randomized Trial of Payments for Ecosystem Services in India", https://doi.org/10.7910/DVN/ZO9SDX, Harvard Dataverse, V1, UNF:6:GL+VJraoy2Rt3V5hmXg3Zw== [fileUNF]
This package contains data from a randomized evaluation of Payments for Ecosystem Services (PES) in Punjab, India. There are 4 datasets in total that contain data from field surveys. For more information on the datasets and the survey instruments please see the ReadMe file. |
Sabrin Beg; Adrienne Lucas; Waqas Halim; Umar Saif, 2021, "Replication Data for: Engaging Teachers with Technology Increased Achievement, Bypassing Teachers Did Not", https://doi.org/10.7910/DVN/Y1UZTT, Harvard Dataverse, V2, UNF:6:fpaSKwID+YXoTg8dulNYzg== [fileUNF]
This package contains replication data for: "Engaging Teachers with Technology Increased Achievement, Bypassing Teachers Did Not." It contains analysis data from two interventions conducted in schools in Pakistan between 2016 and 2017. The first intervention, referred to in this package as “elearn,” contains testing and survey data from 59 schools... |
Abhijit Banerjee; Jennifer Bussell; Sarika Gupta; Rema Hanna; Ben Olken, 2021, "Data for Haqdarshak: Leveraging Technology and Entrepreneurship to Increase Access to Welfare Programs", https://doi.org/10.7910/DVN/DBX9YW, Harvard Dataverse, V2, UNF:6:Uy+WBd/P0t3sDm1q93w3yw== [fileUNF]
This package contains replication data for the project "Haqdarshak: Leveraging Technology and Entrepreneurship to Increase Access to Welfare Programs.” The package contains two main sets of data: i) de-identified raw data files for baseline, intervention and endline for the pilot sample (646 households), conducted in 10 Indian villages in Dausa dis... |
Mar 30, 2021
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... |
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... |
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... |
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... |
