261 to 270 of 283 Results
Dec 18, 2014 - Innovations for Poverty Action Dataverse
Karlan, Dean, 2014, "Using Experimental Economics to Measure Social Capital and Predict Financial Decisions", https://doi.org/10.7910/DVN/27849, Harvard Dataverse, V4, UNF:5:72BRyeOljaknuCEQl91y7A== [fileUNF]
The Trust game is a laboratory-based study conducted as follows: First, before assigning the roles, all rules were explained to the participants. All participants received three nuevos soles, were paired randomly, and assigned either an A or a B. As pairings were announced, they could observe the identity of their partner but were separated immedia... |
Dec 18, 2014 - Innovations for Poverty Action Dataverse
Ashraf, Nava; Karlan, Dean; Yin, Wesley, 2014, "Tying Odysseus to the Mast: Evidence from a Commitment Savings Product in the Philippines", https://doi.org/10.7910/DVN/27854, Harvard Dataverse, V2
We designed a commitment savings product for a Philippine bank and implemented it using a randomized control methodology. The savings product was intended for individuals who want to commit now to restrict access to their savings, and who were sophisticated enough to engage in such a mechanism. We conducted a baseline survey on 1777 existing or for... |
Dec 18, 2014 - Innovations for Poverty Action Dataverse
Karlan, Dean; Valdivia, Martin, 2014, "Teaching Entrepreneurship: Impact of Business Training on Microfinance Clients and Institutions", https://doi.org/10.7910/DVN/27985, Harvard Dataverse, V2
Using a randomized control trial, we measure the marginal impact of adding business training to a Peruvian group lending program for female microentrepreneurs. Treatment groups received thirty- to sixty-minute entrepreneurship training sessions during their normal weekly or monthly banking meeting over a period of one to two years. Control groups r... |
Sep 2, 2014 - The Abdul Latif Jameel Poverty Action Lab Dataverse
Banerjee, Abhijit; Duflo, Esther; Glennerster, Rachel; Kinnan, Cynthia, 2008, "Measuring the impact of microfinance in Hyderabad, India", https://doi.org/10.7910/DVN/BQ7PFF, Harvard Dataverse, V6, UNF:5:7llipBUQ4zNQHjfYYJVqwA== [fileUNF]
This database provides information on 2,800 households living in slums in Hyderabad, Andhra Pradesh (India's fifth largest city) in 2005. Information was collected on household composition, education, employment, asset ownership, decision-making, expenditure, borrowing, saving, and any businesses currently operated by the household or stopped withi... |
May 16, 2014 - The Abdul Latif Jameel Poverty Action Lab Dataverse
Banerjee, Abhijit; Duflo, Esther; Hornbeck, Richard, 2014, "Bundling Health Insurance and Microfinance", https://doi.org/10.7910/DVN/25890, Harvard Dataverse, V2
Microfinance institutions have started to bundle their basic loans with other financial services, such as health insurance. Using a randomized control trial in Karnataka, India, we evaluate the impact on loan renewal from mandating the purchase of actuarially-fair health insurance covering hospitalization and maternity expenses. Bundling loans with... |
Apr 15, 2014 - The Abdul Latif Jameel Poverty Action Lab Dataverse
Banerjee, Abhijit; Deaton, Angus; Duflo, Esther; Glennerster, Rachel; Kothari, Dhruva, 2009, "Udaipur Health and Immunization Studies", https://doi.org/10.7910/DVN/YBO5EV, Harvard Dataverse, V13
This database contains data on the health histories of, and access to healthcare facilities for, individuals located in the Udaipur districts of Rajasthan, India. Data was collected at the household level, as well as at the individual level, separately for adults and children. Also, private and public healthcare facilities located in the area were... |
Mar 25, 2014 - The Abdul Latif Jameel Poverty Action Lab Dataverse
Banerjee, Abhijit; Chandrasekhar, Arun G.; Duflo, Esther; Jackson, Matthew O., 2013, "The Diffusion of Microfinance", https://doi.org/10.7910/DVN/U3BIHX, Harvard Dataverse, V9
We examine how participation in a microfinance program diffuses through social networks. We collected detailed demographic and social network data in 43 villages in South India before microfinance was introduced in those villages and then tracked eventual participation. We exploit exogenous variation in the importance (in a network sense) of the pe... |
Mar 24, 2014 - The Abdul Latif Jameel Poverty Action Lab Dataverse
Duflo, Esther; Dupas, Pascaline; Kremer, Michael, 2013, "Data on Kenyan Youths", https://doi.org/10.7910/DVN/TDFJ7X, Harvard Dataverse, V4
A seven-year randomized evaluation suggests education subsidies reduce adolescent girls' dropout, pregnancy, and marriage but not sexually transmitted infection (STI). The government's HIV curriculum, which stresses abstinence until marriage, does not reduce pregnancy or STI. Both programs combined reduce STI more, but cut dropout and pregnancy les... |
Jan 28, 2014 - The Abdul Latif Jameel Poverty Action Lab Dataverse
Alatas, Vivi; Banerjee, Abhijit; Hanna, Rema; Olken, Benjamin; Tobias, Julia, 2013, "Targeting the Poor: Evidence from a Field Experiment in Indonesia", https://doi.org/10.7910/DVN/M7SKQZ, Harvard Dataverse, V5
This paper reports an experiment in 640 Indonesian villages on three approaches to target the poor: proxy means tests (PMT), where assets are used to predict consumption; community targeting, where villagers rank everyone from richest to poorest; and a hybrid. Defining poverty based on PPP$2 per capita consumption, community targeting and the hybri... |
Jan 25, 2014 - The Abdul Latif Jameel Poverty Action Lab Dataverse
Casey, Katherine; Glennerster, Rachel; Miguel, Edward, 2013, "Reshaping Institutions: Evidence on Aid Impacts Using a Preanalysis Plan", https://doi.org/10.7910/DVN/NBLI7C, Harvard Dataverse, V4
Despite their importance, there is limited evidence on how institutions can be strengthened. Evaluating the effects of specific reforms is complicated by the lack of exogenous variation in institutions, the difficulty of measuring institutional performance, and the temptation to “cherry pick” estimates from among the large number of indicators requ... |