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Default Priors Based on Pseudo-Likelihoods for the Poisson-GPD Model Read chapter Read first chapter

2013 | OriginalPaper | Chapter

46. Cumulation of Poverty Measures to Meet New Policy Needs

Authors : Vijay Verma, Francesca Gagliardi, Caterina Ferretti

Published in: Advances in Theoretical and Applied Statistics

Publisher: Springer Berlin Heidelberg

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Abstract

Reliable indicators of poverty and social exclusion are an essential monitoring tool. Policy research and application increasingly require statistics disaggregated to lower levels and smaller subpopulations. This paper addresses some statistical aspects relating to improving the sampling precision of such indicators for subnational regions, in particular through the cumulation of data.

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Literature
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Betti, G., Gagliardi, F., Nandi, T.: Jackknife variance estimation of differences and averages of poverty measures. Working Paper no ∘  68/2007, DMQ, Università di Siena (2007)
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Verma, V., Betti, G.: Taylor linearization sampling errors and design effects for poverty measures and other complex statistics. J. Appl. Stat. (2010), on-line first
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Verma, V., Betti, G., Gagliardi, F.: An assessment of survey errors in EU-SILC, Eurostat Methodologies and Working Papers, Eurostat, Luxembourg (2010)
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Verma, V., Betti, G., Natilli, M., Lemmi, A.: Indicators of social exclusion and poverty in Europe’s regions. Working Paper no ∘  59/2006, DMQ, Università di Siena (2006)
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Verma, V., Gagliardi, F., Ferretti, C.: On pooling of data and measures. Working Paper no ∘  84/2009, DMQ, Università di Siena (2009)
10.
Wells, J.E.: Oversampling through households or other clusters: comparison of methods for weighting the oversample elements. Aust. New Zeal. J. Stat. 40, 269–277 (1998)MATHCrossRef
Metadata
Title
Cumulation of Poverty Measures to Meet New Policy Needs
Authors
Vijay Verma
Francesca Gagliardi
Caterina Ferretti
Copyright Year
2013
Publisher
Springer Berlin Heidelberg
Book
Advances in Theoretical and Applied Statistics

Print ISBN: 978-3-642-35587-5

Electronic ISBN: 978-3-642-35588-2

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-3-642-35588-2_46

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