The performance of multivariate calibration on ratios, means and proportions

dc.contributor.authorGutiérrez Rojas, Hugo Andrés
dc.contributor.authorZhang, Hanwen
dc.contributor.authorAndrés Rodríguez, Nelson
dc.date.accessioned2019-12-04T14:20:42Z
dc.date.available2019-12-04T14:20:42Z
dc.date.issued2016-07-01
dc.descriptionEn este artículo se aborda la metodología de calibración que reproduce pesos nuevos sujeto la restricción de las ecuaciones de calibración múltiple sobre un vector de razones, medias o proporciones. Se extiende la calibración clásica de tal forma que las ecuaciones de calibración no estén basados solo un vector de totales, sino un vector de parámetros no lineales. Se dan algunas propiedades de los estimadores resultantes y se llevan a cabo algunas simulaciones empíricas para verificar el desempeño de este enfoque. Encontramos que este es apropiado para algunas situaciones prácticas tales como la estimación de la intención de voto, estimación de fuerza laboral y estudios retrospectivos. La metodología es aplicada en el contexto de las elecciones presidenciales de Colombia en el 2014, donde estimamos la intención de voto en la segunda vuelta utilizando datos provenientes de una encuesta electoral tomando los resultados de la primera vuelta como información auxiliar.spa
dc.description.abstractIn this paper, the calibration approach is revisited in order to allow new calibration weights that are subject to the restriction of multiple calibration equations on a vector of ratios, means and proportions. The classical approach is extended in such a way that the calibration equations are not based on a vector of totals, but on a vector of other nonlinear parameters. We stated some properties of the resulting estimators and carry out some empirical simulations in order to asses the performance of this approach. We found that this methodology is suitable for some practical situations like vote intention estimation, estimation of labor force, and retrospective studies. The methodology is applied in the context of the Presidential elections held in Colombia in 2014 for which we estimated the vote intention in the second round using information from an election poll, taking the results from the first round as auxiliary information.spa
dc.description.domainhttp://unidadinvestigacion.usta.edu.cospa
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.15446/rce.v39n2.55424spa
dc.identifier.urihttp://hdl.handle.net/11634/20115
dc.publisher.branchCRAI-USTA Bogotáspa
dc.relation.referencesBlais, A., Massicotte, L. & Dobrzynska, A. (1997), ‘Direct presidential elections: a world summary’, Electoral Studies 16(4), 441–455.spa
dc.relation.referencesBouton, L. & Gratton, G. (2015), ‘Majority runoff elections: Strategic voting and duverger’s hypothesis’, Theoretical Economics 10, 283–314.spa
dc.relation.referencesBrewer, K. R. W. (1999), ‘Cosmetic calibration with unequal probability sampling’, Survey Methodology 25(2), 205–212.spa
dc.relation.referencesDeville, J.-C. & Särndal, C.-E. (1992), ‘Calibration estimators in survey sampling’, Journal of the American statistical Association 87(418), 376–382.spa
dc.relation.referencesElkasabi, M. A., Heeringa, S. G. & Lepkowski, J. M. (2015), ‘Joint calibration estimator for dual frame surveys’, Statistics in Transition 16(1), 7–36.spa
dc.relation.referencesEstevao, V. M. & Särndal, C. E. (2004), ‘Borrowing Strength Is Not the Best Technique Within a Wide Class of Design-Consistent Domain Estimators’, Journal of Official Statistics 20(4), 645–669.spa
dc.relation.referencesKim, J. K. & Park, M. (2010), ‘Calibration estimation in survey sampling’, International Statistical Review 78(1), 21–39.spa
dc.relation.referencesKim, J.-M., Sungur, E. A. & Heo, T.-Y. (2007), ‘Calibration approach estimators in stratified sampling’, Statistics & Probability Letters 77(1), 99–103.spa
dc.relation.referencesKott, P. S. (2003), ‘A practical use for instrumental-variable calibration’, Journal of Official Statistics 19(3), 265–272.spa
dc.relation.referencesKrapavickaite, D. & Plikusas, A. (2005), ‘Estimation of a ratio in the finite population’, Informatica 16(3), 347–364.spa
dc.relation.referencesLesage, E. (2011), ‘The use of estimating equations to perform a calibration on complex parameters’, Survey methodology 37(1), 103–108.spa
dc.relation.referencesPark, S. & Kim, J. K. (2014), ‘Instrumental-variable calibration estimation in survey sampling’, Statistica Sinica 24, 1001–1015.spa
dc.relation.referencesPérez-Liñán, A. (2006), ‘Evaluating presidential runoff elections’, Electoral Studies 25(1), 129–146.spa
dc.relation.referencesPlikusas, A. (2006), Non-linear calibration, in ‘Proceedings, Workshop on survey sampling’, Venspils, Latvia. Riga: Central Statistical Bureau of Latvia.spa
dc.relation.referencesR Development Core Team (2007), R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0. *http://www.R-project.orgspa
dc.relation.referencesSärndal, C. E. (2007), ‘The calibration approach in survey theory and practice’, Survey Methodology 33(2), 99–119.spa
dc.relation.referencesTillé, Y. & Matei, A. (2013), sampling: Survey Sampling. R package version 2.6. *http://CRAN.R-project.org/package=samplingspa
dc.rightsAtribución-NoComercial-CompartirIgual 2.5 Colombia
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/2.5/co/
dc.subject.keywordCalibrationspa
dc.subject.keywordSurvey samplingspa
dc.subject.keywordRatio estimationspa
dc.subject.keywordNonlinear estimationspa
dc.subject.keywordMonte Carlo simulationspa
dc.subject.proposalCalibraciónspa
dc.subject.proposalEncuestas por muestreospa
dc.subject.proposalEstimación de razónspa
dc.subject.proposalEstimadores no linealesspa
dc.subject.proposalSimulación Monte Carlospa
dc.titleThe performance of multivariate calibration on ratios, means and proportionsspa
dc.type.categoryGeneración de Nuevo Conocimiento: Artículos publicados en revistas especializadas - Electrónicosspa

Archivos

Bloque original

Mostrando 1 - 1 de 1
Cargando...
Miniatura
Nombre:
The performance of multivariate calibration on ratios, means and proportions.pdf
Tamaño:
728.91 KB
Formato:
Adobe Portable Document Format
Descripción:
Artículo SCOPUS

Bloque de licencias

Mostrando 1 - 1 de 1
Cargando...
Miniatura
Nombre:
license.txt
Tamaño:
807 B
Formato:
Item-specific license agreed upon to submission
Descripción: