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Author
Guadarrama María (Universidad Carlos III de Madrid), Molina Isabel (Universidad Carlos III de Madrid), Rao J. N. K. (Carleton University, Canada)
Title
A Comparison of Small Area Estimation Methods for Poverty Mapping
Source
Statistics in Transition, 2016, vol. 17, nr 1, s. 41-66, tab., bibliogr. s. 65-66
Keyword
Statystyka małych obszarów, Wskaźniki ubóstwa, Estymatory
Small area estimates, Poverty indicators, Estimators
Note
Materiały z międzynarodowej konferencji Small Area Estimation (SAE 2014), Poznań.
Isabel Molina was supported by grants ref. MTM2009-09473, MTM2012-37077-C02-01 and SEJ2007-64500 and J.N.K. Rao's research by the Natural Sciences and Engineering Research Council of Canada.
summ.
Abstract
We review main small area estimation methods for the estimation of general nonlinear parameters focusing on FGT family of poverty indicators introduced by Foster, Greer and Thorbecke (1984). In particular, we consider direct estimation, the Fay-Herriot area level model (Fay and Herriot, 1979), the method of Elbers, Lanjouw and Lanjouw (2003) used by the World Bank, the empirical Best/Bayes (EB) method of Molina and Rao (2010) and its extension, the Census EB, and finally the hierarchical Bayes proposal of Molina, Nandram and Rao (2014). We put ourselves in the point of view of a practitioner and discuss, as objectively as possible, the benefits and drawbacks of each method, illustrating some of them through simulation studies. (original abstract)
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The Main Library of the Cracow University of Economics
The Library of Warsaw School of Economics
The Library of University of Economics in Katowice
The Main Library of the Wroclaw University of Economics
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Bibliography
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ISSN
1234-7655
Language
eng
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