Article | 06-July-2017
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
Article | 06-July-2017
The paper presents the method of hierarchical Bayes (HB) estimation under small area models with spatially correlated random effects and a spatial structure implied by the Simultaneous Autoregressive (SAR) process. The idea was to improve the spatial EBLUP by incorporating the HB approach into the estimation algorithm. The computation procedure applied in the paper uses the concept of sampling from a posterior distribution under generalized linear mixed models implemented in WinBUGS software
Jan Kubacki,
Alina Jędrzejczak
Statistics in Transition New Series, Volume 17 , ISSUE 3, 365–390
Article | 06-July-2017
Adrijo Chakraborty,
Gauri Sankar Datta,
Abhyuday Mandal
Statistics in Transition New Series, Volume 17 , ISSUE 1, 67–90
Article | 06-July-2017
Jan Kordos
Statistics in Transition New Series, Volume 17 , ISSUE 1, 105–132