An empirical evaluation of five small area estimators
Costa, Àlex (Institut d'Estadística de Catalunya)
Satorra, Albert (Universitat Pompeu Fabra)
Ventura, Eva (Universitat Pompeu Fabra)

Date:	2003
Abstract:	This paper compares five small area estimators. We use Monte Carlo simulation in the context of both artificial and real populations. In addition to the direct and indirect estimators, we consider the optimal composite estimator with population weights, and two composite estimators with estimated weights: one that assumes homogeneity of within area variance and squared bias and one that uses area-specific estimates of variance and squared bias. In the study with real population, we found that among the feasible estimators, the best choice is the one that uses area-specific estimates of variance and squared bias.
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Regional statistics ; Small areas ; Root mean square error ; Direct ; Indirect and composite estimators
Published in:	SORT : statistics and operations research transactions, Vol. 27, Núm. 1 (January-June 2003) , p. 113-136, ISSN 2013-8830

Adreça alternativa: https://raco.cat/index.php/SORT/article/view/28851

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