Costa, Alex; Satorra, Albert; Ventura, Eva Improving small area estimation by combining surveys: new perspectives in regional statistics. (English) Zbl 1274.62466 SORT 30, No. 1, 101-122 (2006). Summary: 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. MSC: 62J07 Ridge regression; shrinkage estimators (Lasso) 62J10 Analysis of variance and covariance (ANOVA) 62H12 Estimation in multivariate analysis Keywords:composite estimator; complementary survey; mean squared error; official statistics; regional statistics; small areas PDFBibTeX XMLCite \textit{A. Costa} et al., SORT 30, No. 1, 101--122 (2006; Zbl 1274.62466) Full Text: EuDML Link