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dc.creatorUgarte Martínez, María Doloreses_ES
dc.creatorGoicoa Mangado, Tomáses_ES
dc.creatorMilitino, Ana F.es_ES
dc.creatorSagaseta López, M.es_ES
dc.identifier.issn1696-2281 (print)
dc.identifier.issn2013–8830 (electronic)
dc.description.abstractIn the last few years, European countries have shown a deep interest in applying small area techniques to produce reliable estimates at county level. However, the specificity of every European country and the heterogeneity of the available auxiliary information, make the use of a common methodology a very difficult task. In this study, the performance of several design-based, model-assisted, and model-based estimators using different auxiliary information for estimating unemployment at small area level is analyzed. The results are illustrated with data from Navarre, an autonomous region located at the north of Spain and divided into seven small areas. After discussing pros and cons of the different alternatives, a composite estimator is chosen, because of its good trade-off between bias and variance. Several methods for estimating the prediction error of the proposed estimator are also provided.en
dc.description.sponsorshipThis research has been supported by the Spanish Ministry of Science and Education (project MTM2005-00511) and the Spanish Ministry of Science and Innovation (MTM2008-03085).en
dc.publisherInstitut d'Estadística de Catalunya-IDESCATes_ES
dc.relation.ispartofSORT-Statistics and Operations Research Transactions, 2009, 33(1). Págs. 49-70en
dc.subjectFinite populationen
dc.subjectPrediction theoryen
dc.subjectLabour Force Surveyen
dc.titleEstimating unemployment in very small areasen
dc.typeArtículo / Artikuluaes
dc.contributor.departmentUniversidad Pública de Navarra. Departamento de Estadística e Investigación Operativaes_ES
dc.contributor.departmentNafarroako Unibertsitate Publikoa. Estatistika eta Ikerketa Operatiboa Sailaeu
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.type.versionVersión aceptada / Onetsi den bertsioaes

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