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Small area estimation of expenditure means and ratios under a unit-level bivariate linear mixed model
dc.contributor.author | Dolores Esteban, María | |
dc.contributor.author | Lombardía, María José | |
dc.contributor.author | López Vizcaíno, María Esther | |
dc.contributor.author | Morales, Domingo | |
dc.contributor.author | Pérez, Agustín | |
dc.date.accessioned | 2023-12-11T14:58:41Z | |
dc.date.available | 2023-12-11T14:58:41Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | M. 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.issn | 1360-0532 | |
dc.identifier.uri | http://hdl.handle.net/2183/34442 | |
dc.description | This 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/10.1080/02664763.2020.1803809 | es_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.sponsorship | Supported 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.sponsorship | Xunta de Galicia; ED431C-2016-015 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431G/01 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Taylor and Francis Group | es_ES |
dc.relation | info: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 DIMENSION | es_ES |
dc.relation | info: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 PEQUEÑAS | es_ES |
dc.relation.uri | https://doi.org/10.1080/02664763.2020.1803809 | es_ES |
dc.rights | Atribución-NoComercial 3.0 España | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/3.0/es/ | * |
dc.subject | Multivariate linear mixed models | es_ES |
dc.subject | Nested error regression models | es_ES |
dc.subject | Best linear unbiased predictors | es_ES |
dc.subject | Ratio estimators | es_ES |
dc.subject | Small area estimation | es_ES |
dc.subject | Household budget surveys | es_ES |
dc.title | Small area estimation of expenditure means and ratios under a unit-level bivariate linear mixed model | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | Journal of Applied Statistics | es_ES |
UDC.volume | 49 | es_ES |
UDC.issue | 1 | es_ES |
UDC.startPage | 143 | es_ES |
UDC.endPage | 168 | es_ES |
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