This report analyzes the potential benefits and challenges of machine learning and small area estimation (SAE) to monitor poverty and help tackle inequality in Maldives.
It explains how SAE can generate granular poverty estimates using household survey and census data, and how machine learning including convolutional neural networks were developed using a model trained on Indonesian data. The report highlights inconsistencies and challenges such as limited sample sizes and shows how developing localized models and synchronizing data collection could help Maldives improve its poverty mapping to drive equitable and targeted interventions.
By:
Asian Development Bank Imprint: Asian Development Bank Dimensions:
Height: 279mm,
Width: 216mm,
Spine: 5mm
Weight: 236g ISBN:9789292775674 ISBN 10: 9292775677 Pages: 68 Publication Date:19 December 2025 Audience:
General/trade
,
ELT Advanced
Format:Paperback Publisher's Status: Active