Multi-level comparisons of input–output tables using cross-entropy indicators

We introduce a cross-entropy (CE) indicator to quantify the extent to which two input–output tables or two tables with results based on input–output analysis differ from each other. Our work deploys a unique feature of the CE indicator: it can be decomposed, allowing for matrix comparisons at variou...

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Main Authors: Abd Rahman, Muhammad Daaniyall, Los, Bart, Owen, Anne, Lenzen, Manfred
Format: Article
Published: Taylor and Francis Group 2021
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author Abd Rahman, Muhammad Daaniyall
Los, Bart
Owen, Anne
Lenzen, Manfred
author_facet Abd Rahman, Muhammad Daaniyall
Los, Bart
Owen, Anne
Lenzen, Manfred
author_sort Abd Rahman, Muhammad Daaniyall
collection UPM
description We introduce a cross-entropy (CE) indicator to quantify the extent to which two input–output tables or two tables with results based on input–output analysis differ from each other. Our work deploys a unique feature of the CE indicator: it can be decomposed, allowing for matrix comparisons at various levels within one coherent framework. To illustrate the power of this approach, we apply the technique to five multi-region input–output (MRIO) tables for 2011, derived from the Eora, EXIOBASE, GTAP, OECD and WIOD databases. We make pairwise comparisons between MRIOs and between global value chain (GVC) computations based on these MRIOs. We find that answers to questions related to broader aggregates are generally quite similar, but that answers to questions at the level of single industries can be rather different across MRIOs.
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spelling upm.eprints-942892023-05-03T09:00:39Z http://psasir.upm.edu.my/id/eprint/94289/ Multi-level comparisons of input–output tables using cross-entropy indicators Abd Rahman, Muhammad Daaniyall Los, Bart Owen, Anne Lenzen, Manfred We introduce a cross-entropy (CE) indicator to quantify the extent to which two input–output tables or two tables with results based on input–output analysis differ from each other. Our work deploys a unique feature of the CE indicator: it can be decomposed, allowing for matrix comparisons at various levels within one coherent framework. To illustrate the power of this approach, we apply the technique to five multi-region input–output (MRIO) tables for 2011, derived from the Eora, EXIOBASE, GTAP, OECD and WIOD databases. We make pairwise comparisons between MRIOs and between global value chain (GVC) computations based on these MRIOs. We find that answers to questions related to broader aggregates are generally quite similar, but that answers to questions at the level of single industries can be rather different across MRIOs. Taylor and Francis Group 2021-11-24 Article PeerReviewed Abd Rahman, Muhammad Daaniyall and Los, Bart and Owen, Anne and Lenzen, Manfred (2021) Multi-level comparisons of input–output tables using cross-entropy indicators. Economic Systems Research, 32 (1). pp. 75-94. ISSN 0953-5314; ESSN: 1469-5758 https://www.tandfonline.com/doi/abs/10.1080/09535314.2021.1990869?tab=permissions&scroll=top&role=tab 10.1080/09535314.2021.1990869
spellingShingle Abd Rahman, Muhammad Daaniyall
Los, Bart
Owen, Anne
Lenzen, Manfred
Multi-level comparisons of input–output tables using cross-entropy indicators
title Multi-level comparisons of input–output tables using cross-entropy indicators
title_full Multi-level comparisons of input–output tables using cross-entropy indicators
title_fullStr Multi-level comparisons of input–output tables using cross-entropy indicators
title_full_unstemmed Multi-level comparisons of input–output tables using cross-entropy indicators
title_short Multi-level comparisons of input–output tables using cross-entropy indicators
title_sort multi level comparisons of input output tables using cross entropy indicators
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AT losbart multilevelcomparisonsofinputoutputtablesusingcrossentropyindicators
AT owenanne multilevelcomparisonsofinputoutputtablesusingcrossentropyindicators
AT lenzenmanfred multilevelcomparisonsofinputoutputtablesusingcrossentropyindicators