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Article | 06-July-2017

A COMPARISON OF SMALL AREA ESTIMATION METHODS FOR POVERTY MAPPING

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

María Guadarrama, Isabel Molina, J. N. K. Rao

Statistics in Transition New Series, Volume 17 , ISSUE 1, 41–66

Research paper | 01-November-2017

BORROWING INFORMATION OVER TIME IN BINOMIAL/LOGIT NORMAL MODELS FOR SMALL AREA ESTIMATION

Carolina Franco, William R. Bell

Statistics in Transition New Series, Volume 16 , ISSUE 4, 563–584

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