Survey will open in a new window or redirect momentarily, please keep this tab open! If the survey does not open, please enable popups and refresh the page.

Status:

Dismiss

Long-run impacts of a Graduation program in Afghanistan

Study ID sspp-2023-0006-v1

General Details

Project LT TUP Afghanistan
Study ID sspp-2023-0006-v1
Study Title Long-run impacts of a Graduation program in Afghanistan
Authors David Bernard, Yulia Belyajova, Aidan Coville, Guadalupe Bedoya, Thomas Escande
Completion Time 15 Minutes
Close Date May 1, 2023
Discipline Economics
Field Development Economics
Country Afghanistan
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.

Incentive Details

Incentive Type Based on forecast accuracy
Calculation Method
Recipient Pool Incentives are lottery-based
Lottery Percentage 10.0%


Forecast Distributions


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.

View Key Question Response Distribution:


Citation
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