<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-05-05T11:16:27Z</responseDate><request verb="GetRecord" identifier="oai:uvadoc.uva.es:10324/67457" metadataPrefix="marc">https://uvadoc.uva.es/oai/request</request><GetRecord><record><header><identifier>oai:uvadoc.uva.es:10324/67457</identifier><datestamp>2024-05-10T10:41:17Z</datestamp><setSpec>com_10324_36297</setSpec><setSpec>com_10324_954</setSpec><setSpec>com_10324_894</setSpec><setSpec>col_10324_36298</setSpec></header><metadata><record xmlns="http://www.loc.gov/MARC21/slim" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dcterms="http://purl.org/dc/terms/" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
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<subfield code="a">Cazcarro, Ignacio</subfield>
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<subfield code="a">Amores, Antonio F.</subfield>
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<subfield code="a">Arto, Inaki</subfield>
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<subfield code="a">Kratena, Kurt</subfield>
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<subfield code="a">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).</subfield>
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<subfield code="a">Economic systems research, 2022, vol. 34, n. 1 p. 22-40</subfield>
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<subfield code="a">0953-5314</subfield>
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<subfield code="a">10.1080/09535314.2020.1856044</subfield>
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<subfield code="a">Consumo</subfield>
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<subfield code="a">Linking multisectoral economic models and consumption surveys for the European Union</subfield>
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