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dc.contributor.authorCosta, Àlex
dc.contributor.authorSatorra, A.
dc.contributor.authorVentura, Eva
dc.date.accessioned2007-11-15T16:59:50Z
dc.date.available2007-11-15T16:59:50Z
dc.date.issued2006
dc.identifier.citationCosta, Àlex; Satorra, Albert; Ventura, Eva. "Improving small area estimation by combining surveys: new perspectives in regional statistics". SORT, 2006, Vol. 30, núm. 1
dc.identifier.issn1696-2281
dc.identifier.urihttp://hdl.handle.net/2099/3785
dc.description.abstractA 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.
dc.format.extent101-122
dc.language.isoeng
dc.publisherInstitut d'Estadística de Catalunya
dc.relation.ispartofSORT. 2006, Vol. 30, Núm. 1 [January-June]
dc.rightsAttribution-NonCommercial-NoDerivs 2.5 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/es/
dc.subject.otherInference
dc.subject.otherMultivariate analysis
dc.titleImproving small area estimation by combining surveys: new perspectives in regional statistics.
dc.typeArticle
dc.subject.lemacInferència
dc.subject.lemacAnàlisi multivariable
dc.description.peerreviewedPeer Reviewed
dc.subject.amsClassificació AMS::62 Statistics::62J Linear inference, regression
dc.subject.amsClassificació AMS::62 Statistics::62H Multivariate analysis
dc.rights.accessOpen Access
local.personalitzacitaciotrue


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