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A COMPARISON OF SMALL AREA ESTIMATION METHODS FOR POVERTY MAPPING

María Guadarrama (maria.guadarrama@uc3m.es), Isabel Molina (isabel.molina@uc3m.es) and J. N. K. Rao (jrao@math.carleton.ca)
Additional contact information
María Guadarrama: Department of Statistics, Universidad Carlos III de Madrid. Address: C/Madrid 126, 28903 Getafe (Madrid), Spain
Isabel Molina: Department of Statistics, Universidad Carlos III de Madrid. Address: C/Madrid 126, 28903 Getafe (Madrid), Spain
J. N. K. Rao: School of Mathematics and Statistics, Carleton University

Statistics in Transition New Series, 2016, vol. 17, issue 1, 41-66

Abstract: We review main small area estimation methods for the estimation of general nonlinear parameters focusing on FGT family of poverty...

Keywords: area level model; non-linear parameters; empirical best estimator; hierarchical Bayes; poverty mapping; unit level models (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (15)

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Persistent link: https://EconPapers.repec.org/RePEc:exl:29stat:v:17:y:2016:i:1:p:41-66

DOI: 10.21307/stattrans-2016-005

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