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Grow the pie, or have it? Using machine learning to impact heterogeneity in the Ultra-poor graduation model

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Title Grow the pie, or have it? Using machine learning to impact heterogeneity in the Ultra-poor graduation model
 
Creator Chowdhury, Reajul Alam
Ceballos-Sierra, Federico
Sulaiman, Munshi
 
Subject evaluation
machine learning
modelling
poverty
impact
poverty alleviation
household expenditure
 
Date 2023-11-22
2023-12-04T08:47:06Z
2023-12-04T08:47:06Z
 
Type Journal Article
 
Identifier Chowdhury, R.A.; Ceballos-Sierra, F.; Sulaiman, M. (2023) Grow the pie, or have it? Using machine learning to impact heterogeneity in the Ultra-poor graduation model. Journal of Development Effectiveness, Online first paper (2023-11-22). ISSN: 1943-9407
1943-9407
https://hdl.handle.net/10568/134938
https://doi.org/10.1080/19439342.2023.2276928
 
Language en
 
Rights Copyrighted; all rights reserved
Limited Access
 
Publisher Taylor & Francis
 
Source Journal of Development Effectiveness