A new alternative for matrix balancing under conflicting information

Balancing input–output tables using iterative proportional fitting techniques can be prevented due to conflicting information. What is to be done in such cases? Literature suggests a wide variety of alternative methods. Within iterative proportional fitting techniques, modifying the constraint set t...

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Detalles Bibliográficos
Autores: Torre Cuevas, Fernando de la, Pereira López, Xesús, López Iglesias, Edelmiro
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad de Santiago de Compostela (USC)
Repositorio:Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
Idioma:inglés
OAI Identifier:oai:minerva.usc.gal:10347/37739
Acceso en línea:https://hdl.handle.net/10347/37739
Access Level:acceso abierto
Palabra clave:Input–output
RAS
Conflicting information
530304 Input-output
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oai_identifier_str oai:minerva.usc.gal:10347/37739
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spelling A new alternative for matrix balancing under conflicting informationTorre Cuevas, Fernando de laPereira López, XesúsLópez Iglesias, EdelmiroInput–outputRASConflicting information530304 Input-outputBalancing input–output tables using iterative proportional fitting techniques can be prevented due to conflicting information. What is to be done in such cases? Literature suggests a wide variety of alternative methods. Within iterative proportional fitting techniques, modifying the constraint set to circumvent conflicting information problems has been suggested as a promising avenue. Following this approach, we identify some opportunities for improvement not yet been addressed. As a result of this research, we present an iterative proportional fitting variant. Our algorithm uses information contained in the matrix to be balanced for dynamically modifying our constraint set. We ensure economically meaningful solutions, avoiding unsought sign flips. We also respect all macroeconomic aggregates. To illustrate our findings, we provide an empirical example based on the supply-use tables for the region of Galicia (Northwest Spain). Results suggest that our methodological proposal can yield estimates almost as accurate as other alternatives while avoiding undesired outcomes.Taylor & FrancisUniversidade de Santiago de Compostela. Departamento de Economía AplicadaUniversidade de Santiago de Compostela. Departamento de Economía Cuantitativa20232023-01-0120232023-01-01journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10347/37739reponame:Minerva. Repositorio Institucional de la Universidad de Santiago de Compostelainstname:Universidad de Santiago de Compostela (USC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:minerva.usc.gal:10347/377392026-06-15T12:47:27Z
dc.title.none.fl_str_mv A new alternative for matrix balancing under conflicting information
title A new alternative for matrix balancing under conflicting information
spellingShingle A new alternative for matrix balancing under conflicting information
Torre Cuevas, Fernando de la
Input–output
RAS
Conflicting information
530304 Input-output
title_short A new alternative for matrix balancing under conflicting information
title_full A new alternative for matrix balancing under conflicting information
title_fullStr A new alternative for matrix balancing under conflicting information
title_full_unstemmed A new alternative for matrix balancing under conflicting information
title_sort A new alternative for matrix balancing under conflicting information
dc.creator.none.fl_str_mv Torre Cuevas, Fernando de la
Pereira López, Xesús
López Iglesias, Edelmiro
author Torre Cuevas, Fernando de la
author_facet Torre Cuevas, Fernando de la
Pereira López, Xesús
López Iglesias, Edelmiro
author_role author
author2 Pereira López, Xesús
López Iglesias, Edelmiro
author2_role author
author
dc.contributor.none.fl_str_mv Universidade de Santiago de Compostela. Departamento de Economía Aplicada
Universidade de Santiago de Compostela. Departamento de Economía Cuantitativa
dc.subject.none.fl_str_mv Input–output
RAS
Conflicting information
530304 Input-output
topic Input–output
RAS
Conflicting information
530304 Input-output
description Balancing input–output tables using iterative proportional fitting techniques can be prevented due to conflicting information. What is to be done in such cases? Literature suggests a wide variety of alternative methods. Within iterative proportional fitting techniques, modifying the constraint set to circumvent conflicting information problems has been suggested as a promising avenue. Following this approach, we identify some opportunities for improvement not yet been addressed. As a result of this research, we present an iterative proportional fitting variant. Our algorithm uses information contained in the matrix to be balanced for dynamically modifying our constraint set. We ensure economically meaningful solutions, avoiding unsought sign flips. We also respect all macroeconomic aggregates. To illustrate our findings, we provide an empirical example based on the supply-use tables for the region of Galicia (Northwest Spain). Results suggest that our methodological proposal can yield estimates almost as accurate as other alternatives while avoiding undesired outcomes.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-01-01
2023
2023-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10347/37739
url https://hdl.handle.net/10347/37739
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
dc.source.none.fl_str_mv reponame:Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
instname:Universidad de Santiago de Compostela (USC)
instname_str Universidad de Santiago de Compostela (USC)
reponame_str Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
collection Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
repository.name.fl_str_mv
repository.mail.fl_str_mv
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