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dc.contributor.authorCazcarro, I.
dc.contributor.authorAmores, A.F.
dc.contributor.authorArto, I.
dc.contributor.authorKratena, K.
dc.date2021-07-01
dc.date.accessioned2022-01-31T11:22:30Z
dc.date.available2022-01-31T11:22:30Z
dc.date.issued2020
dc.identifier.citationEconomic Systems Research (2020)es_ES
dc.identifier.urihttp://hdl.handle.net/10810/55221
dc.description.abstractMultisectoral 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.es_ES
dc.description.sponsorshipThe 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)es_ES
dc.language.isoenges_ES
dc.publisherEconomic Systems Researches_ES
dc.relationinfo:eu-repo/grantAgreement/MCIU/PID2019-106822RB-I00es_ES
dc.relationinfo:eu-repo/grantAgreement/MCIU/RTI2018-099858-A-I00es_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/MDM-2017-0714es_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/821105es_ES
dc.relationES/1PE/MDM-2017-0714es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/*
dc.subjectcontingency bridge matriceses_ES
dc.subjectCPA-COICOPes_ES
dc.subjectEU28es_ES
dc.subjectHousehold budget surveyses_ES
dc.subjectHousehold budget surveyses_ES
dc.titleLinking multisectoral economic models and consumption surveys for the European Uniones_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2021 European uniones_ES
dc.rights.holderAtribución-NoComercial-CompartirIgual 3.0 España*
dc.relation.publisherversionhttps://dx.doi.org/10.1080/09535314.2020.1856044es_ES
dc.identifier.doi10.1080/09535314.2020.1856044
dc.contributor.funderEuropean Commission


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