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Estimating Global Poverty in Stata

Bibliographic Data

ID19901040
AuthorsR Andrés Castañeda Aguilar (0000-0003-1154-1374), Christoph Lakner (0000-0002-1354-3480), Espen Beer Prydz, Jorge Soler Lopez, Ruoxuan Wu, Qinghua Zhao (0000-0002-3115-3128)
Year2019
Publication date2019-09-01
Open AccessNo
TypeBOOK
PublisherWorld Bank, Washington, DC (PUBLISHER)
DOI10.1596/32477
OpenAlexW2976809779
LanguageEN
Citations received1
References cited2

This note describes how poverty measures reported by the World Bank can be replicated using the Stata command povcalnet. Users can estimate poverty at any poverty line for the world, regions or sets of countries, by directly querying the World Bank's database of household surveys. The command also retrieves inequality statistics provided by the database

Economic growth · Economics · Poverty · Income, Poverty, and Inequality

  • How much does reducing inequality matter for global poverty

    Open Access•Christoph Lakner, Daniel Gerszon Mahler et al.•The Journal of Economic Inequality•2022

  • Poverty and Inequality

    Francisco H G Ferreira, Martin Ravallion•Oxford Handbook of Economic…•2011

  • Global Income Distribution

    Christoph Lakner, Branko Milanovic•The World Bank Economic Review•2015

Unique citing works1
Citations per year0,25
Citation span2022 - 2022 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1
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