Nowcasting Global Poverty
This paper evaluates different methods for nowcasting country-level poverty rates, including methods that apply statistical learning to large-scale country-level data obtained from the World Development Indicators and Google Earth Engine. The metho...
Main Authors: | Mahler, Daniel Gerszon, Castaneda Aguilar, R. Andres, Newhouse, David |
---|---|
Format: | Working Paper |
Language: | English |
Published: |
World Bank, Washington, DC
2021
|
Subjects: | |
Online Access: | http://documents.worldbank.org/curated/undefined/143231637760743360/Nowcasting-Global-Poverty http://hdl.handle.net/10986/36636 |
Similar Items
-
Poverty from Space : Using High-Resolution Satellite Imagery for Estimating Economic Well-Being
by: Engstrom, Ryan, et al.
Published: (2017) -
But … What is the Poverty Rate Today? : Testing Poverty Nowcasting Methods in Latin America and the Caribbean
by: Caruso, German, et al.
Published: (2017) -
The Roots of Inequality : Estimating Inequality of Opportunity from Regression Trees
by: Brunori, Paolo, et al.
Published: (2018) -
How much does reducing inequality matter for global poverty?
by: Lakner, Christoph, et al.
Published: (2022) -
How Much Does Reducing Inequality Matter for Global Poverty?
by: Lakner, Christoph, et al.
Published: (2020)