Small Area Estimation of Monetary Poverty in Mexico Using Satellite Imagery and Machine Learning

Small Area Estimation of Monetary Poverty in Mexico Using Satellite Imagery and Machine Learning

Estimates of poverty are an important input into policy formulation in developing countries. The accurate measurement of poverty rates is therefore a first-order problem for development policy. This paper shows that combining satellite imagery with...

Full description

Bibliographic Details
Main Authors: Newhouse, David, Merfeld, Joshua, Ramakrishnan, Anusha Pudugramam, Swartz, Tom, Lahiri, Partha
Format: Working Paper
Language:English
English
Published: World Bank, Washington, DC 2022
Subjects:
POVERTY
SMALL AREA ESTIMATION
POVERTY MAPPING
SATELLITE DATA
MACHINE LEARNING
SUSTAINABLE DEVELOPMENT GOALS
POVERTY ERADICATION
Online Access:http://documents.worldbank.org/curated/en/099430309142231728/IDU0660868530404c0414e0bf180797b525682a5
http://hdl.handle.net/10986/38020

Similar Items

Similar Items