Grow the pie, or have it? Using machine learning to impact heterogeneity in the Ultra-poor graduation model
| Autores principales: | , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Informa UK Limited
2024
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/134938 |
| _version_ | 1855522711248306176 |
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| author | Chowdhury, Reajul Alam Ceballos-Sierra, Federico Sulaiman, Munshi |
| author_browse | Ceballos-Sierra, Federico Chowdhury, Reajul Alam Sulaiman, Munshi |
| author_facet | Chowdhury, Reajul Alam Ceballos-Sierra, Federico Sulaiman, Munshi |
| author_sort | Chowdhury, Reajul Alam |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| format | Journal Article |
| id | CGSpace134938 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Informa UK Limited |
| publisherStr | Informa UK Limited |
| record_format | dspace |
| spelling | CGSpace1349382025-10-26T12:51:48Z Grow the pie, or have it? Using machine learning to impact heterogeneity in the Ultra-poor graduation model Chowdhury, Reajul Alam Ceballos-Sierra, Federico Sulaiman, Munshi evaluation machine learning modelling poverty impact poverty alleviation household expenditure 2024-04-02 2023-12-04T08:47:06Z 2023-12-04T08:47:06Z Journal Article https://hdl.handle.net/10568/134938 en Limited Access Informa UK Limited 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 |
| spellingShingle | evaluation machine learning modelling poverty impact poverty alleviation household expenditure Chowdhury, Reajul Alam Ceballos-Sierra, Federico Sulaiman, Munshi Grow the pie, or have it? Using machine learning to impact heterogeneity in the Ultra-poor graduation model |
| title | Grow the pie, or have it? Using machine learning to impact heterogeneity in the Ultra-poor graduation model |
| title_full | Grow the pie, or have it? Using machine learning to impact heterogeneity in the Ultra-poor graduation model |
| title_fullStr | Grow the pie, or have it? Using machine learning to impact heterogeneity in the Ultra-poor graduation model |
| title_full_unstemmed | Grow the pie, or have it? Using machine learning to impact heterogeneity in the Ultra-poor graduation model |
| title_short | Grow the pie, or have it? Using machine learning to impact heterogeneity in the Ultra-poor graduation model |
| title_sort | grow the pie or have it using machine learning to impact heterogeneity in the ultra poor graduation model |
| topic | evaluation machine learning modelling poverty impact poverty alleviation household expenditure |
| url | https://hdl.handle.net/10568/134938 |
| work_keys_str_mv | AT chowdhuryreajulalam growthepieorhaveitusingmachinelearningtoimpactheterogeneityintheultrapoorgraduationmodel AT ceballossierrafederico growthepieorhaveitusingmachinelearningtoimpactheterogeneityintheultrapoorgraduationmodel AT sulaimanmunshi growthepieorhaveitusingmachinelearningtoimpactheterogeneityintheultrapoorgraduationmodel |