Sampling design variance estimation of small area estimators in the Spanish Labour Force Survey

The main goal of this paper is to investigate how to estimate sampling design variances of modelbased and model-assisted small area estimators in a complex survey sampling setup. For this purpose the Spanish Labour Force Survey is considered. Sample and aggregated data are taken from the Canary Isla...

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Autores: Herrador Cansado, Montserrat, Morales, Domingo|||0000-0002-9794-5654, Esteban Álvarez, María Dolores, Sánchez, Ángel, Santamaría Arana, Laureano, Marhuenda García, Yolanda|||0000-0001-8217-4482, Pérez Mas, Antonio
Tipo de recurso: artículo
Fecha de publicación:2008
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:97785
Acceso en línea:https://ddd.uab.cat/record/97785
Access Level:acceso abierto
Palabra clave:Labour Force Survey
Small area estimation
Linear models
Mean squared error
Bootstrap
Jackknife
Unemployment totals
Calibrated weights
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spelling Sampling design variance estimation of small area estimators in the Spanish Labour Force SurveyHerrador Cansado, MontserratMorales, Domingo|||0000-0002-9794-5654Esteban Álvarez, María DoloresSánchez, ÁngelSantamaría Arana, LaureanoMarhuenda García, Yolanda|||0000-0001-8217-4482Pérez Mas, AntonioLabour Force SurveySmall area estimationLinear modelsMean squared errorBootstrapJackknifeUnemployment totalsCalibrated weightsThe main goal of this paper is to investigate how to estimate sampling design variances of modelbased and model-assisted small area estimators in a complex survey sampling setup. For this purpose the Spanish Labour Force Survey is considered. Sample and aggregated data are taken from the Canary Islands in the second trimester of 2003 in order to obtain some small area estimators of ILO unemployment totals. Several problems arising from the application of standard small area estimation procedures to the survey are described. It is shown that standard variance estimators based on explicit formulas are not applicable in the strict sense, since the assumptions under which they are derived do not hold. In addition two resampling techniques, bootstrap and jackknife, are considered. These methods treat all the considered estimators in the same manner and therefore they can be used as performance measures to compare them. From the analysis of the obtained results, some recommendations are given. 22008-01-0120082008-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/97785reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.https://creativecommons.org/licenses/by-nc-nd/3.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:977852026-06-06T12:50:31Z
dc.title.none.fl_str_mv Sampling design variance estimation of small area estimators in the Spanish Labour Force Survey
title Sampling design variance estimation of small area estimators in the Spanish Labour Force Survey
spellingShingle Sampling design variance estimation of small area estimators in the Spanish Labour Force Survey
Herrador Cansado, Montserrat
Labour Force Survey
Small area estimation
Linear models
Mean squared error
Bootstrap
Jackknife
Unemployment totals
Calibrated weights
title_short Sampling design variance estimation of small area estimators in the Spanish Labour Force Survey
title_full Sampling design variance estimation of small area estimators in the Spanish Labour Force Survey
title_fullStr Sampling design variance estimation of small area estimators in the Spanish Labour Force Survey
title_full_unstemmed Sampling design variance estimation of small area estimators in the Spanish Labour Force Survey
title_sort Sampling design variance estimation of small area estimators in the Spanish Labour Force Survey
dc.creator.none.fl_str_mv Herrador Cansado, Montserrat
Morales, Domingo|||0000-0002-9794-5654
Esteban Álvarez, María Dolores
Sánchez, Ángel
Santamaría Arana, Laureano
Marhuenda García, Yolanda|||0000-0001-8217-4482
Pérez Mas, Antonio
author Herrador Cansado, Montserrat
author_facet Herrador Cansado, Montserrat
Morales, Domingo|||0000-0002-9794-5654
Esteban Álvarez, María Dolores
Sánchez, Ángel
Santamaría Arana, Laureano
Marhuenda García, Yolanda|||0000-0001-8217-4482
Pérez Mas, Antonio
author_role author
author2 Morales, Domingo|||0000-0002-9794-5654
Esteban Álvarez, María Dolores
Sánchez, Ángel
Santamaría Arana, Laureano
Marhuenda García, Yolanda|||0000-0001-8217-4482
Pérez Mas, Antonio
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Labour Force Survey
Small area estimation
Linear models
Mean squared error
Bootstrap
Jackknife
Unemployment totals
Calibrated weights
topic Labour Force Survey
Small area estimation
Linear models
Mean squared error
Bootstrap
Jackknife
Unemployment totals
Calibrated weights
description The main goal of this paper is to investigate how to estimate sampling design variances of modelbased and model-assisted small area estimators in a complex survey sampling setup. For this purpose the Spanish Labour Force Survey is considered. Sample and aggregated data are taken from the Canary Islands in the second trimester of 2003 in order to obtain some small area estimators of ILO unemployment totals. Several problems arising from the application of standard small area estimation procedures to the survey are described. It is shown that standard variance estimators based on explicit formulas are not applicable in the strict sense, since the assumptions under which they are derived do not hold. In addition two resampling techniques, bootstrap and jackknife, are considered. These methods treat all the considered estimators in the same manner and therefore they can be used as performance measures to compare them. From the analysis of the obtained results, some recommendations are given.
publishDate 2008
dc.date.none.fl_str_mv 2
2008-01-01
2008
2008-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://ddd.uab.cat/record/97785
url https://ddd.uab.cat/record/97785
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/3.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
instname_str Universitat Autònoma de Barcelona
reponame_str Dipòsit Digital de Documents de la UAB
collection Dipòsit Digital de Documents de la UAB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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