Is poverty predictable with machine learning? A study of DHS data from Kyrgyzstan

Author:

Li Qing,Yu Shuai,Échevin Damien,Fan Min

Funder

Xinjiang University

Department of Human Resources and Social Security of Xinjiang Uygur Autonomous Region

Fonds de Recherche du Québec - Santé

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Statistics, Probability and Uncertainty,Strategy and Management,Economics and Econometrics,Geography, Planning and Development

Reference59 articles.

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4. Predicting poverty and malnutrition for targeting, mapping, monitoring, and early warning;McBride;Appl Econ Perspect Pol,2021

5. Assessing the multiple dimensions of poverty. Data mining approaches to the 2004-14 health and demographic surveillance system in cuatro santos, Nicaragua;Kallestal;Front Public Health,2019

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