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dc.contributor.authorRODRIGUES JOAO F. D.en_GB
dc.contributor.authorDE AMORES HERNANDEZ ANTONIOen_GB
dc.contributor.authorPAULO RUIen_GB
dc.date.accessioned2019-11-20T01:19:14Z-
dc.date.available2019-11-19en_GB
dc.date.available2019-11-20T01:19:14Z-
dc.date.created2019-11-11en_GB
dc.date.issued2019en_GB
dc.date.submitted2018-07-20en_GB
dc.identifier.citationECONOMIC SYSTEMS RESEARCH vol. 31 no. 4 p. 551-573en_GB
dc.identifier.issn0953-5314 (online)en_GB
dc.identifier.urihttps://www.tandfonline.com/doi/full/10.1080/09535314.2019.1583171en_GB
dc.identifier.urihttps://publications.jrc.ec.europa.eu/repository/handle/JRC112632-
dc.description.abstractIn the construction of input–output models from supply-use tables, technology assumptions disambiguate how an industry uses inputs in the production recipe of multiple outputs. This paper uses Bayes' theorem to select technology assumptions, taking into account empirical observations. The paper presents a formulation to explore hybrids between product and industry technology assumptions in product-by-product tables. We then present Markov chain Monte-Carlo techniques to implement the Bayesian method for selecting technology assumptions. We apply the method in a case study using Eurostat supply-use tables of 2004 and 2005, exhibiting a volume of secondary products of less than 13%, and 59 products and industries per country. The results show that the choice of technology is not important, given that there is no strong evidence in favour of any of them.en_GB
dc.description.sponsorshipJRC.B.5-Circular Economy and Industrial Leadershipen_GB
dc.format.mediumOnlineen_GB
dc.languageENGen_GB
dc.publisherROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTDen_GB
dc.relation.ispartofseriesJRC112632en_GB
dc.titleBayesian selection of technology assumptions for the transformation from supply-use to input–output tablesen_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doi10.1080/09535314.2019.1583171 (online)en_GB
JRC Directorate:Growth and Innovation

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