A Spatial Unit Level Model for Small Area Estimation

Autor:	Pedro S. Coelho, Luís N. Pereira
Jazyk:	angličtina
Rok vydání:	2011
Předmět:	combined estimator empirical best linear unbiased prediction small area estimation spatial models unit level models Statistics HA1-4737 Probabilities. Mathematical statistics QA273-280
Zdroj:	Revstat Statistical Journal, Vol 9, Iss 2 (2011)
Druh dokumentu:	article
ISSN:	1645-6726 2183-0371
DOI:	10.57805/revstat.v9i2.102
Popis:	This paper approaches the problem of small area estimation in the framework of spatially correlated data. We propose a class of estimators allowing the integration of sample information of a spatial nature. Those estimators are based on linear models with spatially correlated small area effects where the neighbourhood structure is a function of the distance between small areas. Within a Monte Carlo simulation study we analyze the merits of the proposed estimators in comparison to several traditional estimators. We conclude that the proposed estimators can compete in precision with competitive estimators, while allowing significant reductions in bias. Their merits are particularly conspicuous when analyzing their conditional properties.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/987a5caf0e3b43d3bbef461937832e8c Zobrazit plný text záznamu View record in DOAJ