Global Poverty: Scraping distributional data from the World Bank

Publication date

2016-10-07

Authors

Moatsos, M.ORCID 0000-0002-3132-0651ISNI 0000000492798784

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Document Type

Poster
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Abstract

The problem of measuring global poverty consistently is addressed using a family of bare bones consumption baskets (BBB). This methodology pinpoints equivalent levels of welfare, both internationally and intertemporally. Naturally, in calculating poverty rates the household consumption distributions are needed. However, those are not made available by the World Bank that collects them. To overcome this problem the python script from Dykstra et al 2014 has been updated to read-in a list of poverty lines and fetch the poverty rate on a per country/year combination. A later version of this script has now allowed for extracting the entire distribution from the World Bank and deals with the inconsistencies found in the dataset provided by Dykstra et al.

Keywords

Global Poverty, BBB, poverty lines, World Bank

Citation

Moatsos, M 2016, 'Global Poverty : Scraping distributional data from the World Bank', Digital Humanities Community Event, Utrecht, Netherlands, 7/10/16., workshop