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Comparing small area techniques for estimating poverty measures

Author

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  • Federico Crescenzi

  • Gianni Betti

  • Francesca Gagliardi

Abstract

The Europe 2020 Strategy has formulated key policy objectives or so-called “headline targets” which the EU as a whole and Member States are individually committed to achieving by 2020. One of the five headline targets is directly related to key quality aspects of life, namely social inclusion; within these targets, the EU-SILC headline indicators at-risk-of-poverty or social exclusion and its components will be included in the budgeting of structural funds, one of the main instruments through which policy targets are attained. For this purpose, DG Regional Policy of the European Commission is aiming to use sub-national/regional level data (NUTS 2). Starting from this, the focus of the present paper is on the “regional dimension” of well-being. In fact, we compare two small area techniques, namely the cumulation and the spatial EBLUP (SEBLUP), on the basis of EU-SILC data from Austria and Spain

Suggested Citation

  • Federico Crescenzi & Gianni Betti & Francesca Gagliardi, 2015. "Comparing small area techniques for estimating poverty measures," Department of Economics University of Siena 721, Department of Economics, University of Siena.
    • Handle: RePEc:usi:wpaper:721
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    References listed on IDEAS

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    1. Tony Atkinson & Bea Cantillon & Eric Marlier & Brian Nolan, 2002. "Indicators for Social Inclusion," Politica economica, Società editrice il Mulino, issue 1, pages 7-28.
    2. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    3. Gianni Betti & Francesca Gagliardi & Achille Lemmi & Vijay Verma, 2011. "Subnational indicators of poverty and deprivation in Europe: methodology and applications," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 5(1), pages 129-147.
    4. Atkinson, Tony & Cantillon, Bea & Marlier, Eric & Nolan, Brian, 2002. "Social Indicators: The EU and Social Inclusion," OUP Catalogue, Oxford University Press, number 9780199253494.
    5. Vijay Verma & Gianni Betti, 2011. "Taylor linearization sampling errors and design effects for poverty measures and other complex statistics," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(8), pages 1549-1576, August.
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    Keywords

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    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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