Linking multisectoral economic models and consumption surveys for the European Union

Multisectoral models usually have a single representative household. However, more diversity of household types is needed to analyse the effects of multiple phenomena (i.e. ageing, gender inequality, distributional income impact, etc.). Household consumption surveys microdata is a rich data source f...

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Detalles Bibliográficos
Autores: Cazcarro, I., Amores, A.F., Arto Olaizola, Ignacio, Kratena, K.
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universidad del País Vasco
Repositorio:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/55221
Acceso en línea:http://hdl.handle.net/10810/55221
Access Level:acceso abierto
Palabra clave:contingency bridge matrices
CPA-COICOP
EU28
Household budget surveys
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spelling Linking multisectoral economic models and consumption surveys for the European UnionCazcarro, I.Amores, A.F.Arto Olaizola, IgnacioKratena, K.contingency bridge matricesCPA-COICOPEU28Household budget surveysHousehold budget surveysMultisectoral models usually have a single representative household. However, more diversity of household types is needed to analyse the effects of multiple phenomena (i.e. ageing, gender inequality, distributional income impact, etc.). Household consumption surveys microdata is a rich data source for these types of analysis. However, feeding multisectoral models with this type of information is not simple and recent studies show how even slightly inaccurate procedures might result in significantly biased results. This paper presents the full procedure for feeding household consumption microdata into macroeconomic models and for the first time provides in a systematic way an estimation of the bridge matrices needed to link European Union Household Budget Surveys microdata with the most popular multi-regional input output frameworks (e.g. Eurostat, WIOD, EORA, OECD). © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.The authors are grateful to the reviewers and to the editor Manfred LENZEN, whose insightfulcontributions helped to improve the article. The authors are also grateful to Sanjiv MAHAJAN(Office of National Statistics, United Kingdom), Pat KILDUFF (Central Statistics Office, Ireland),Ylva PETERSSON STRID (Statistics Sweden), Isabelle REMOND-TIEDREZ, Pille DEFENSE-PALOJARV, Sigita GRUNDIZA, Friderike OEHLER and Erika TAIDRE (Eurostat) for theirclarifications regarding official data. Anna ATKINSON (European Commission’s Joint ResearchCentre) kindly proofread the manuscript.Ignacio Cazcarro and Iñaki Arto thank the Spanish Ministry of Science, Innovation and Universi-ties for the RTI2018-099858-A-I00 grant (project “MALCON”) and for the PID2019-106822RB-I00grant (in which Ignacio Cazcarro participates) under the programme of R&D Projects ResearchChallenges; the Spanish State Research Agency through María de Maeztu Excellence Unit accredita-tion 2018–2022 (Ref. MDM-2017-0714) and the project LOCOMOTION H2020-LC-CLA-2018-2(No 821105)Economic Systems ResearchEuropean Commission202220222020info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/55221reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoInglésinfo:eu-repo/grantAgreement/MCIU/PID2019-106822RB-I00/info:eu-repo/grantAgreement/MCIU/RTI2018-099858-A-I00/info:eu-repo/grantAgreement/MINECO/MDM-2017-0714/info:eu-repo/grantAgreement/EC/H2020/821105ES/1PE/MDM-2017-0714https://dx.doi.org/10.1080/09535314.2020.1856044info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/3.0/es/© 2021 European unionAtribución-NoComercial-CompartirIgual 3.0 Españaoai:addi.ehu.eus:10810/552212026-06-18T09:23:17Z
dc.title.none.fl_str_mv Linking multisectoral economic models and consumption surveys for the European Union
title Linking multisectoral economic models and consumption surveys for the European Union
spellingShingle Linking multisectoral economic models and consumption surveys for the European Union
Cazcarro, I.
contingency bridge matrices
CPA-COICOP
EU28
Household budget surveys
Household budget surveys
title_short Linking multisectoral economic models and consumption surveys for the European Union
title_full Linking multisectoral economic models and consumption surveys for the European Union
title_fullStr Linking multisectoral economic models and consumption surveys for the European Union
title_full_unstemmed Linking multisectoral economic models and consumption surveys for the European Union
title_sort Linking multisectoral economic models and consumption surveys for the European Union
dc.creator.none.fl_str_mv Cazcarro, I.
Amores, A.F.
Arto Olaizola, Ignacio
Kratena, K.
author Cazcarro, I.
author_facet Cazcarro, I.
Amores, A.F.
Arto Olaizola, Ignacio
Kratena, K.
author_role author
author2 Amores, A.F.
Arto Olaizola, Ignacio
Kratena, K.
author2_role author
author
author
dc.contributor.none.fl_str_mv European Commission
dc.subject.none.fl_str_mv contingency bridge matrices
CPA-COICOP
EU28
Household budget surveys
Household budget surveys
topic contingency bridge matrices
CPA-COICOP
EU28
Household budget surveys
Household budget surveys
description Multisectoral models usually have a single representative household. However, more diversity of household types is needed to analyse the effects of multiple phenomena (i.e. ageing, gender inequality, distributional income impact, etc.). Household consumption surveys microdata is a rich data source for these types of analysis. However, feeding multisectoral models with this type of information is not simple and recent studies show how even slightly inaccurate procedures might result in significantly biased results. This paper presents the full procedure for feeding household consumption microdata into macroeconomic models and for the first time provides in a systematic way an estimation of the bridge matrices needed to link European Union Household Budget Surveys microdata with the most popular multi-regional input output frameworks (e.g. Eurostat, WIOD, EORA, OECD). © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
publishDate 2020
dc.date.none.fl_str_mv 2020
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10810/55221
url http://hdl.handle.net/10810/55221
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/MCIU/PID2019-106822RB-I00/
info:eu-repo/grantAgreement/MCIU/RTI2018-099858-A-I00/
info:eu-repo/grantAgreement/MINECO/MDM-2017-0714/
info:eu-repo/grantAgreement/EC/H2020/821105
ES/1PE/MDM-2017-0714
https://dx.doi.org/10.1080/09535314.2020.1856044
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/3.0/es/
© 2021 European union
Atribución-NoComercial-CompartirIgual 3.0 España
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/3.0/es/
© 2021 European union
Atribución-NoComercial-CompartirIgual 3.0 España
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Economic Systems Research
publisher.none.fl_str_mv Economic Systems Research
dc.source.none.fl_str_mv reponame:Addi. Archivo Digital para la Docencia y la Investigación
instname:Universidad del País Vasco
instname_str Universidad del País Vasco
reponame_str Addi. Archivo Digital para la Docencia y la Investigación
collection Addi. Archivo Digital para la Docencia y la Investigación
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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