Predicting poverty and malnutrition for targeting, mapping, monitoring, and early warning
Linden McBride, Christopher B. Barrett, Christopher Browne, Leiqiu Hu, Yanyan Liu, David S. Matteson, Ying Sun, Jiaming Wen
| Year of publication: |
2022
|
|---|---|
| Authors: | McBride, Linden ; Barrett, Christopher B. ; Browne, Christopher ; Hu, Leiqiu ; Liu, Yanyan ; Matteson, David S. ; Ying, Sun ; Wen, Jiaming |
| Published in: |
Applied economic perspectives and policy. - Hoboken, NJ : Wiley, ISSN 2040-5804, ZDB-ID 2529839-2. - Vol. 44.2022, 2, p. 879-892
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| Subject: | big data | humanitarian assistance | machine learning | poverty mapping | poverty prediction | Armut | Poverty | Prognoseverfahren | Forecasting model | Armutsbekämpfung | Poverty reduction | Unterernährung | Undernutrition | Künstliche Intelligenz | Artificial intelligence | Messung | Measurement | Big Data | Big data | Data Mining | Data mining | Frühwarnsystem | Early warning system | Humanitäre Hilfe | Humanitarian aid |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1002/aepp.13175 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013274051