Challenges in small area estimation of poverty indicators

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Abstract

Increasing demand for reliable statistics on poverty and social exclusion for regions and sub-regions in the EU constitutes a challenge to official statistics and the academic community of statisticians. As a response, literature on the estimation for population subgroups or domains (small or large) has expanded dramatically during the last few years. Rao (2003), Longford (2004), Jiang and Lahiri (2006), Datta (2009) and Lehtonen and Veijanen (2009) are examples of up-to-date sources. Important international conferences specialized on small area estimation (SAE) have been arranged recently. Large-scale multinational research projects focusing on small area estimation have been launched. The applicability of selected methods for small area estimation (SAE) was investigated in the context of the EU FP6 project EURAREA (EURAREA Consortium 2004). From a more limited perspective, a feasibility study on the level of regional detail that can be expected from the European Community Household Panel (ECHP) samples has been conducted in an EU funded project “Regional Indicators to reflect social exclusion and poverty” (European Commission 2005). More recently, in the FP7 projects AMELI (Advanced Methodology for European Laeken Indicators) and SAMPLE (Small Area Methods for Poverty and Living Condition Estimates), methodologies are developed for the estimation of poverty indicators for domains and small areas. This paper focuses on the AMELI project.
Original languageEnglish
Title of host publicationUnknown host publication
Number of pages2
Publication date2010
Publication statusPublished - 2010
MoE publication typeA4 Article in conference proceedings
EventInternational Conference on Indicators and Survey Methodology - Vienna, Unknown
Duration: 24 Feb 201026 Feb 2010

Fields of Science

  • 112 Statistics and probability

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