Food-Based Statistical Approach to Absolute Poverty Measurement

Balint Menyhert (), Zsombor Cseres-Gergely (), Virmantas Kvedaras (), Benedetta Mina (), Filippo Pericoli () and Slavica Zec ()
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Balint Menyhert: Joint Research Centre
Zsombor Cseres-Gergely: Joint Research Centre
Virmantas Kvedaras: Joint Research Centre
Benedetta Mina: Joint Research Centre
Filippo Pericoli: Joint Research Centre
Slavica Zec: Joint Research Centre

Chapter Chapter 6 in Measuring and Monitoring Absolute Poverty in the European Union, 2025, pp 181-199 from Springer

Abstract: Abstract This chapter presents the food-based statistical approach as the most algorithmic and resource-efficient strategy to measure absolute poverty in the European context. The approach is based on the statistical analysis of household expenditure patterns and uses a novel set of nutritional food reference budgets as input to determine the non-food component of the poverty threshold. This is an established measurement procedure in developing countries, but is not directly applicable in advanced economies characterised by low food expenditure shares. A significant part of the chapter is therefore devoted to presenting a new simulation-based inverse methodology that circumvents the related limitations and produces reliable and consistent poverty estimates for all EU countries.

Keywords: Absolute poverty measurement; European Union; Food reference budgets; Statistical methods; EU Household Budget Survey (EU-HBS) (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-63953-1_6

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DOI: 10.1007/978-3-031-63953-1_6

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