A national survey designed for estimating a specific population quantity is sometimes used for estimation of this quantity also for a small area, such as a province. Budget constraints do not allow a greater sample size for the small area, and so other means of improving estimation have to be devised. We investigate such methods and assess them by a Monte Carlo study. We explore how a complementary survey can be exploited in small area estimation. We use the context of the Spanish Labour Force Survey (EPA) and the Barometer in Spain for our study.
@article{urn:eudml:doc:41622,
title = {Improving small area estimation by combining surveys: new perspectives in regional statistics.},
journal = {SORT},
volume = {30},
year = {2006},
pages = {101-122},
mrnumber = {MR2273334},
zbl = {1274.62466},
language = {en},
url = {http://dml.mathdoc.fr/item/urn:eudml:doc:41622}
}
Costa, Alex; Satorra, Albert; Ventura, Eva. Improving small area estimation by combining surveys: new perspectives in regional statistics.. SORT, Tome 30 (2006) pp. 101-122. http://gdmltest.u-ga.fr/item/urn:eudml:doc:41622/