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Bridging between economy-wide activity and household-level consumption data: Matrices for European countries

This dataset represents bridging matrices between two different data classification systems: consumption by purpose (COICOP) and products by activity (CPA). While the former classification is used in household budget and expenditure surveys, the latter represents the industry sector dimension that i...

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Autores principales: Cai, Mattia, Vandyck, Toon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7083776/
https://www.ncbi.nlm.nih.gov/pubmed/32215306
http://dx.doi.org/10.1016/j.dib.2020.105395
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author Cai, Mattia
Vandyck, Toon
author_facet Cai, Mattia
Vandyck, Toon
author_sort Cai, Mattia
collection PubMed
description This dataset represents bridging matrices between two different data classification systems: consumption by purpose (COICOP) and products by activity (CPA). While the former classification is used in household budget and expenditure surveys, the latter represents the industry sector dimension that is typically adopted in national accounts and input–output tables. We collect input data from Eurostat on total household consumption for 35 COICOP and 63 CPA categories for the year 2015. Based on these data, we construct bridging or concordance tables for 30 European countries using recently developed matrix balancing techniques. The resulting tables enable data conversion between consumption- and production-based statistics, facilitating research that integrates macroeconomics, multi-sectoral international trade and heterogeneous agents in household-level expenditure micro-data. Although they are a necessary input in several types of research, they are often constructed on an ad hoc and region-specific basis and not shared publicly. As such, making this dataset available will be useful for computable general equilibrium and input–output models and for carbon footprint and life cycle analyses that incorporate rich consumption micro-data, for instance to shed light on distributional aspects of climate and energy policies. Furthermore, by eliminating a barrier raised by differences in statistical classifications, this dataset may foster collaboration between different research teams and may facilitate soft-linking between complementary analytical tools used for policy support.
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spelling pubmed-70837762020-03-25 Bridging between economy-wide activity and household-level consumption data: Matrices for European countries Cai, Mattia Vandyck, Toon Data Brief Economics, Econometrics and Finance This dataset represents bridging matrices between two different data classification systems: consumption by purpose (COICOP) and products by activity (CPA). While the former classification is used in household budget and expenditure surveys, the latter represents the industry sector dimension that is typically adopted in national accounts and input–output tables. We collect input data from Eurostat on total household consumption for 35 COICOP and 63 CPA categories for the year 2015. Based on these data, we construct bridging or concordance tables for 30 European countries using recently developed matrix balancing techniques. The resulting tables enable data conversion between consumption- and production-based statistics, facilitating research that integrates macroeconomics, multi-sectoral international trade and heterogeneous agents in household-level expenditure micro-data. Although they are a necessary input in several types of research, they are often constructed on an ad hoc and region-specific basis and not shared publicly. As such, making this dataset available will be useful for computable general equilibrium and input–output models and for carbon footprint and life cycle analyses that incorporate rich consumption micro-data, for instance to shed light on distributional aspects of climate and energy policies. Furthermore, by eliminating a barrier raised by differences in statistical classifications, this dataset may foster collaboration between different research teams and may facilitate soft-linking between complementary analytical tools used for policy support. Elsevier 2020-03-12 /pmc/articles/PMC7083776/ /pubmed/32215306 http://dx.doi.org/10.1016/j.dib.2020.105395 Text en © 2020 The Authors. Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Economics, Econometrics and Finance
Cai, Mattia
Vandyck, Toon
Bridging between economy-wide activity and household-level consumption data: Matrices for European countries
title Bridging between economy-wide activity and household-level consumption data: Matrices for European countries
title_full Bridging between economy-wide activity and household-level consumption data: Matrices for European countries
title_fullStr Bridging between economy-wide activity and household-level consumption data: Matrices for European countries
title_full_unstemmed Bridging between economy-wide activity and household-level consumption data: Matrices for European countries
title_short Bridging between economy-wide activity and household-level consumption data: Matrices for European countries
title_sort bridging between economy-wide activity and household-level consumption data: matrices for european countries
topic Economics, Econometrics and Finance
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7083776/
https://www.ncbi.nlm.nih.gov/pubmed/32215306
http://dx.doi.org/10.1016/j.dib.2020.105395
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