ProjectLT TUP Afghanistan Study IDsspp-2023-0006-v1 Study Title
Long-run impacts of a Graduation program in Afghanistan AuthorsDavid Bernard, Yulia Belyajova, Aidan Coville, Guadalupe Bedoya, Thomas Escande Completion Time15 Minutes Close DateMay 1, 2023 DisciplineEconomics FieldDevelopment Economics CountryAfghanistan Abstract “Big-push” interventions are often seen as key for reducing persistent poverty, especially in Afghanistan which is one of the most fragile and conflict-affected countries in the world. By combining a package of different assets and services, the Targeting the Ultra Poor program (TUP) aims to lift households out of poverty. We ask you to predict the short and long-run effects of the program.
10% of respondents to this survey will receive an accuracy reward of up to $100. There is also a $40 reward if you complete at least 4 of these long-run surveys.
Based on forecast accuracy
Recipient PoolIncentives are lottery-based
When uploading forecasting surveys, authors are asked to select several key questions which are often the questions they think are the most important to the study.
Bernard, David, Belyajova, Yulia, Coville, Aidan, Bedoya, Guadalupe, and Thomas Escande. 2023. "Long-run impacts of a Graduation program in Afghanistan." Social Science Prediction Platform. February 13. https://socialscienceprediction.org/s/ex6b00