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Should we be using social security benefits data as proxies for income poverty

Bibliographic Data

ID12937317
AuthorsAlex Fenton (0000-0001-6102-6288, Leibniz University Hannover, corresponding author)
Year2013
Volume21
Issue3
Pages207-218
Publication date2013-10-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Poverty and Social Justice (JOURNAL)
Journal identifiersISSN: 1759-8273 • E-ISSN: 1759-8281
PublisherPolicy Press (PUBLISHER • GB)
DOI10.1332/175982713x13812242833217
OpenAlexW2067126894
LanguageEN

Administrative data on means-tested benefits have come to be widely used as proxy measures of local poverty rates in the UK. Two such uses are described: allocating funding to local government, and constructing neighbourhood deprivation indices. The paper argues that such uses risk errors of both measurement and interpretation. Income poverty is conventionally defined against percentages of national median income. The paper shows that out-of-work means-tested benefit claims are valid, but incomplete, proxies for income poverty so conceived. Further, there is considerable regional variation in the statistical relationship between rates of income poverty and rates of benefit claims. Benefits data should be used only with caution to describe spatial differences in poverty

Demographic economics · Econometrics · Economic growth · Economics · Government (linguistics · Neighbourhood (mathematics · Poverty · Poverty rate · Proxy (statistics · Public economics · Social security · Statistics · Work (physics · demographic modeling and climate adaptation · Housing, Finance, and Neoliberalism · Income, Poverty, and Inequality

Citation velocityhistorical
Highly citedNo

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