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<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:date>2024</dc:date>
<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>
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<dc:identifier>https://uvadoc.uva.es/handle/10324/67457</dc:identifier>
<dc:language>spa</dc:language>
<dc:publisher>Taylor &amp; Francis</dc:publisher>
<dc:subject>Consumo</dc:subject>
<dc:subject>5304.01 Consumo, Ahorro, Inversión</dc:subject>
<dc:subject>5307.15 Teoría Microeconómica</dc:subject>
<dc:title>Linking multisectoral economic models and consumption surveys for the European Union</dc:title>
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