Intra-Country comparisons of Poverty Rate
Gaia Bertarelli,
Luigi Biggeri,
Caterina Giusti,
Stefano Marchetti and
Monica Pratesi
Discussion Papers from Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy
Abstract:
Reducing the inequality between member states is a target the European Union (EU) has set itself in its treaties and monitors through its cohesion reports. This has become a much debated and researched issue over the last decade. One result emerges clearly in the debate: this goal is far to be reached without a deeper studying of inequalities within each Member States. This paper describes a general approach to the previous issue proposing a set of statistical methods that can be applied in the almost totality of the EU countries. It is based on data from European current sample surveys on consumption expenditure (Household Budget Survey) and on income and living conditions (EUSILC - European Survey on Income and Living Conditions). It uses the most popular poverty indicator from the Laeken set, the At Risk of Poverty Rate (ARPR) or Head Count Ratio (HCR). The examples are built on Italian data. The sub national level used is defined on the basis of the NUTS classification used by Eurostat.
Keywords: Inequality; Small Area Estimation; Laeken indicators (search for similar items in EconPapers)
JEL-codes: C18 C80 C83 (search for similar items in EconPapers)
Date: 2020-10-01
New Economics Papers: this item is included in nep-eur
Note: ISSN 2039-1854
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.ec.unipi.it/documents/Ricerca/papers/2020-260.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pie:dsedps:2020/260
Access Statistics for this paper
More papers in Discussion Papers from Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy Contact information at EDIRC.
Bibliographic data for series maintained by ().