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<dc:title>Linking multisectoral economic models and consumption surveys for the European Union</dc:title>
<dc:creator>Cazcarro, Ignacio</dc:creator>
<dc:creator>Amores, Antonio F.</dc:creator>
<dc:creator>Arto, Inaki</dc:creator>
<dc:creator>Kratena, Kurt</dc:creator>
<dc:subject>Consumo</dc:subject>
<dc:subject>Household budget surveys</dc:subject>
<dc:subject>CPA-COICOP</dc:subject>
<dc:subject>contingency bridge matrices</dc:subject>
<dc:subject>valuation matrices</dc:subject>
<dc:subject>EU28</dc:subject>
<dc:subject>5304.01 Consumo, Ahorro, Inversión</dc:subject>
<dc:subject>5307.15 Teoría Microeconómica</dc:subject>
<dc:description>Producción Científica</dc:description>
<dc: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,&#xd;
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&#xd;
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&#xd;
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&#xd;
multi-regional input–output frameworks (e.g. Eurostat, WIOD, EORA, OECD).</dc:description>
<dc:description>Ministerio de Ciencia, Innovación y Universidades: [grant numbers RTI2018-099858-A-I00 and PID2019-106822RB-I00]; the Spanish State Research Agency through María de Maeztu Excellence Unit accreditation 2018-2022 [grant number MDM-2017-0714] and the project LOCOMOTION H2020-LC-CLA-2018-2 [grant number 821105].</dc:description>
<dc:date>2024-05-09T06:38:23Z</dc:date>
<dc:date>2024-05-09T06:38:23Z</dc:date>
<dc:date>2024</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
<dc:identifier>Economic systems research, 2022, vol. 34, n. 1 p. 22-40</dc:identifier>
<dc:identifier>0953-5314</dc:identifier>
<dc:identifier>https://uvadoc.uva.es/handle/10324/67457</dc:identifier>
<dc:identifier>10.1080/09535314.2020.1856044</dc:identifier>
<dc:language>spa</dc:language>
<dc:relation>https://www.tandfonline.com/doi/full/10.1080/09535314.2020.1856044</dc:relation>
<dc:rights>Attribution 4.0 Internacional</dc:rights>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
<dc:rights>European union</dc:rights>
<dc:format>application/pdf</dc:format>
<dc:publisher>Taylor &amp; Francis</dc:publisher>
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