POVCALNET: Stata module to access World Bank Global Poverty and Inequality measures
Abstract
The povcalnet commands allows Stata users to compute poverty and inequality indicators for more than 160 countries and regions in the World Bank’s database of household surveys. It has the same functionality as the PovcalNet website. PovcalNet is a computational tool that allows users to estimate poverty rates for regions, sets of countries or individual countries, over time and at any poverty line.
Supplementary notes can be added here, including code and math.
Jorge Soler-Lopez
International Consultant & PhD in Political Economy
I am a Fellow at Bocconi University and an International Consultant at the World Bank (ECA Poverty and Equity team). I hold a PhD in Public Policy and Administration from Bocconi University. My research covers migration and democratic attitudes, economic hardship and political outcomes, minority political behavior, and poverty measurement.