Strengths and limitations of relative wealth indices derived from big data in Indonesia

Strengths and limitations of relative wealth indices derived from big data in Indonesia

Accurate relative wealth estimates in Low and Middle-Income Countries (LMICS) are crucial to help policymakers address socio-demographic inequalities under the guidance of the Sustainable Development Goals set by the United Nations. Survey-based approaches have traditionally been employed to collect...

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Bibliographic Details
Main Authors: Daniele Sartirano, Kyriaki Kalimeri, Ciro Cattuto, Enrique Delamónica, Manuel Garcia-Herranz, Anthony Mockler, Daniela Paolotti, Rossano Schifanella
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Big Data
Subjects:
wealth
index
poverty
survey
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2023.1054156/full

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