2026-04-22T22:17:48Zhttps://uvadoc.uva.es/oai/request

oai:uvadoc.uva.es:10324/674572024-05-10T10:41:17Zcom_10324_36297com_10324_954com_10324_894col_10324_36298

Cazcarro, Ignacio Amores, Antonio F. Arto, Inaki Kratena, Kurt 2024-05-09T06:38:23Z 2024-05-09T06:38:23Z 2024 Economic systems research, 2022, vol. 34, n. 1 p. 22-40 0953-5314 https://uvadoc.uva.es/handle/10324/67457 10.1080/09535314.2020.1856044 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). spa info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ European union Attribution 4.0 Internacional Consumo Linking multisectoral economic models and consumption surveys for the European Union info:eu-repo/semantics/article