Improving small area estimation by combining surveys: new perspectives in regional statistics

Satorra, Albert; Ventura, Eva; Costa Saenz de San Pedro, Alex

doi:http://dx.doi.org/10.2139/ssrn.1002507

Improving small area estimation by combining surveys: new perspectives in regional statistics

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Satorra A, Ventura E, Costa Saenz de San Pedro A. Improving small area estimation by combining surveys: new perspectives in regional statistics. SORT Statistics and Operations Research Transactions. 2007 Jul 24;30(1):101-22. DOI: 10.2139/ssrn.1002507

Abstract

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.