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  • Statistics In Transition

 

Article | 22-January-2018

MAPPING POVERTY AT THE LEVEL OF SUBREGIONS IN POLAND USING INDIRECT ESTIMATION

Marcin Szymkowiak, Andrzej Młodak, Łukasz Wawrowski

Statistics in Transition New Series, Volume 18 , ISSUE 4, 609–635

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 Article | 13-June-2021

Small area estimates of the low work intensity indicator at voivodeship level in Poland

2005-2012 was estimated. The Rao and You (1994), Fay and Diallo (2012), and Marhuenda, Molina and Morales (2013) models were applied. The bootstrap MSE for the discussed methods was proposed. The results indicate that these models provide more reliable estimates than direct estimation.

Łukasz Wawrowski, Maciej Beręsewicz

Statistics in Transition New Series, Volume 22 , ISSUE 2, 155–172

Article | 06-July-2017

DEVELOPMENT OF SMALLAREA ESTIMATION IN OFFICIAL STATISTICS

Jan Kordos

Statistics in Transition New Series, Volume 17 , ISSUE 1, 105–132

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