Comparing small area techniques for estimating poverty measures: the case study of Austria and Spain
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- Federico Crescenzi & Gianni Betti & Francesca Gagliardi, 2016. "Comparing Small Area Techniques for Estimating Poverty Measures: the Case Study of Austria and Spain," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(2), pages 396-404.
References listed on IDEAS
- Atkinson, Tony & Cantillon, Bea & Marlier, Eric & Nolan, Brian, 2002. "Social Indicators: The EU and Social Inclusion," OUP Catalogue, Oxford University Press, number 9780199253494.
- 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.
- Tony Atkinson & Bea Cantillon & Eric Marlier & Brian Nolan, 2002. "Indicators for Social Inclusion," Politica economica, Società editrice il Mulino, issue 1, pages 7-28.
- 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.
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More about this item
Keywords
SMALL AREA ESTIMATION; POVERTY; EU HEADLINE TARGETS; REGIONAL LEVEL; NUTS-2; INEQUALITY; SEBLUP; CUMULATION; SILC; AUSTRIA; SPAIN;All these keywords.
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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