Satorra, AlbertVentura, EvaCosta Saenz de San Pedro, Alex2021-02-012021-02-012006Satorra 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.10025071696-2281http://hdl.handle.net/10230/46301A 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.application/pdfengDocument subjecte a una llicència de Creative Commons https://creativecommons.org/licenses/by-nc-nd/3.0/info:eu-repo/semantics/articlehttp://dx.doi.org/10.2139/ssrn.1002507Composite estimatorComplementary surveyMean squared errorOfficial statisticsRegional statisticsSmall areainfo:eu-repo/semantics/openAccess