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**Project Overview** This project conducts a welfare comparison of three transfers to the ultra poor (TUP) or graduation from ultra poverty (GUP) experiments using a novel strategy for estimating neediness from disaggregate consumption data combined with price data. The three experiments under study took place in Bangladesh, Ghana, and South Sudan. The primary components of this project are - Replications of the treatment effects on consumption from all three experiments. Links to the original papers for all three experiments are on the "Results from Original Experiments" wiki page. - Estimating neediness using Constant Frisch Elasticity demands (for an overview of neediness, Constant Frisch Elasticity demand, and an application, see [Ligon (2016)][1]. - Comparing welfare gains from the three experiments using price data. **Project Resources** A python package for estimating and computing Constant Frisch Elasticity (CFE) demands: [CFEDemands 0.1.1][2] . A repository of the price data we have compiled for welfare comparisons: [Prices][3] (Thanks to Obie Porteous for generously sharing parts of his price data in sub-Saharan Africa. Please see [Porteous (2017)][4] for more information about his new dataset.) Links to the original results of the three experiments under study: - [Bangladesh][5]: Bandiera, O; Burgess, R; Das, N; Gulesci, S; Rasul, I; Sulaiman, M. "Labor Markets and Poverty in Village Economies." QJE (2017). - [Ghana][6]: Banerjee, A; Duflo, E; Goldberg, N; Karlan, D; Osei, R; Parienté, W; Shapiro, J; Thuysbaert, B; Udry, C. "A multifaceted program causes lasting progress for the very poor: Evidence from six countries." Science (2015). - [South Sudan][7]: Collins, E; Ligon, E. "Asset Transfers and household Neediness." [1]: [2]: [3]: [4]: [5]: [6]: [7]:
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