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dc.contributor.authorDolores Esteban, María
dc.contributor.authorLombardía, María José
dc.contributor.authorLópez Vizcaíno, María Esther
dc.contributor.authorMorales, Domingo
dc.contributor.authorPérez, Agustín
dc.date.accessioned2023-12-11T14:58:41Z
dc.date.available2023-12-11T14:58:41Z
dc.date.issued2022
dc.identifier.citationM. D. Esteban, M. J. Lombardía, E. López-Vizcaíno, D. Morales, y A. Pérez, «Small area estimation of expenditure means and ratios under a unit-level bivariate linear mixed model», Journal of Applied Statistics, vol. 49, n.º 1, pp. 143-168, ene. 2022, doi: 10.1080/02664763.2020.1803809.es_ES
dc.identifier.issn1360-0532
dc.identifier.urihttp://hdl.handle.net/2183/34442
dc.descriptionThis is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Applied Statistics on 05 Aug 2020, available at: https://doi.org/10.1080/02664763.2020.1803809es_ES
dc.description.abstract[Abstract]: Under a unit-level bivariate linear mixed model, this paper introduces small area predictors of expenditure means and ratios, and derives approximations and estimators of the corresponding mean squared errors. For the considered model, the REML estimation method is implemented. Several simulation experiments, designed to analyze the behavior of the introduced fitting algorithm, predictors and mean squared error estimators, are carried out. An application to real data from the Spanish household budget survey illustrates the behavior of the proposed statistical methodology. The target is the estimation of means of food and non-food household annual expenditures and of ratios of food household expenditures by Spanish provinces.es_ES
dc.description.sponsorshipSupported by the grants MTM2017-82724-R and PGC2018-096840-B-I00 of the Ministerio de Economía y Competitividad (MINECO) and by the Xunta de Galicia (Grupos de Referencia Competitiva ED431C-2016-015 and Centro Singular de Investigación de Galicia ED431G/01), all of them through the ERDF.es_ES
dc.description.sponsorshipXunta de Galicia; ED431C-2016-015es_ES
dc.description.sponsorshipXunta de Galicia; ED431G/01es_ES
dc.language.isoenges_ES
dc.publisherTaylor and Francis Groupes_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/MTM2017-82724-R/ES/INFERENCIA ESTADISTICA FLEXIBLE PARA DATOS COMPLEJOS DE GRAN VOLUMEN Y DE ALTA DIMENSIONes_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-096840-B-I00/ES/MODELOS MIXTOS Y ESTIMACION EN AREAS PEQUEÑASes_ES
dc.relation.urihttps://doi.org/10.1080/02664763.2020.1803809es_ES
dc.rightsAtribución-NoComercial 3.0 Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/es/*
dc.subjectMultivariate linear mixed modelses_ES
dc.subjectNested error regression modelses_ES
dc.subjectBest linear unbiased predictorses_ES
dc.subjectRatio estimatorses_ES
dc.subjectSmall area estimationes_ES
dc.subjectHousehold budget surveyses_ES
dc.titleSmall area estimation of expenditure means and ratios under a unit-level bivariate linear mixed modeles_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleJournal of Applied Statisticses_ES
UDC.volume49es_ES
UDC.issue1es_ES
UDC.startPage143es_ES
UDC.endPage168es_ES


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