A Comparison Study on Criteria to Select the Most Adequate Weighting Matrix

Autores
Herrera Gomez, Marcos Hernan; Mur, Jesús; Ruiz, Manuel
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The practice of spatial econometrics revolves around a weighting matrix, which is often supplied by the user on previous knowledge. This is the so called W issue and, probably, the aprioristic approach is not the best solution. However, we have to concur that, nowadays, there few alternatives for the user. Under these circumstances, our contribution focuses on the problem of selecting a W matrix from among a finite set of matrices, all of them deemed appropriate for the case. We develop a new and simple method based on the Entropy corresponding to the distribution probability estimated for the data. Other alternatives to ours, which are common in current applied work, are also reviewed. The main part of the paper consists of a large Monte Carlo resolved in order to calibrate the effectiveness of our approach compared to the others. A case study is also included.
Fil: Herrera Gomez, Marcos Hernan. Universidad Nacional de Salta. Facultad de Ciencias Económicas, Jurídicas y Sociales. Instituto de Estudios Laborales y del Desarrollo Económico; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Mur, Jesús. Universidad de Zaragoza; España
Fil: Ruiz, Manuel. Universidad Politécnica de Cartagena; España
Materia
Weights matrix
Model Selection
Entropy
Monte Carlo
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/70566
Acceder
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spelling A Comparison Study on Criteria to Select the Most Adequate Weighting MatrixHerrera Gomez, Marcos HernanMur, JesúsRuiz, ManuelWeights matrixModel SelectionEntropyMonte Carlohttps://purl.org/becyt/ford/5.2https://purl.org/becyt/ford/5The practice of spatial econometrics revolves around a weighting matrix, which is often supplied by the user on previous knowledge. This is the so called W issue and, probably, the aprioristic approach is not the best solution. However, we have to concur that, nowadays, there few alternatives for the user. Under these circumstances, our contribution focuses on the problem of selecting a W matrix from among a finite set of matrices, all of them deemed appropriate for the case. We develop a new and simple method based on the Entropy corresponding to the distribution probability estimated for the data. Other alternatives to ours, which are common in current applied work, are also reviewed. The main part of the paper consists of a large Monte Carlo resolved in order to calibrate the effectiveness of our approach compared to the others. A case study is also included.Fil: Herrera Gomez, Marcos Hernan. Universidad Nacional de Salta. Facultad de Ciencias Económicas, Jurídicas y Sociales. Instituto de Estudios Laborales y del Desarrollo Económico; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Mur, Jesús. Universidad de Zaragoza; EspañaFil: Ruiz, Manuel. Universidad Politécnica de Cartagena; EspañaUniversidad Nacional de Salta. Facultad de Ciencias Económicas, Jurídicas y Sociales. Instituto de Estudios Laborales y del Desarrollo Económico2017-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/70566Herrera Gomez, Marcos Hernan; Mur, Jesús; Ruiz, Manuel; A Comparison Study on Criteria to Select the Most Adequate Weighting Matrix; Universidad Nacional de Salta. Facultad de Ciencias Económicas, Jurídicas y Sociales. Instituto de Estudios Laborales y del Desarrollo Económico; Documentos de Trabajo; 18; 6-2017; 1-401852-11181852-1223CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.economicas.unsa.edu.ar/ielde/esp/documentos-de-trabajo.phpinfo:eu-repo/semantics/altIdentifier/url/https://ideas.repec.org/p/slt/wpaper/18.htmlinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:49:38Zoai:ri.conicet.gov.ar:11336/70566instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:49:38.996CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A Comparison Study on Criteria to Select the Most Adequate Weighting Matrix
title A Comparison Study on Criteria to Select the Most Adequate Weighting Matrix
spellingShingle A Comparison Study on Criteria to Select the Most Adequate Weighting Matrix
Herrera Gomez, Marcos Hernan
Weights matrix
Model Selection
Entropy
Monte Carlo
title_short A Comparison Study on Criteria to Select the Most Adequate Weighting Matrix
title_full A Comparison Study on Criteria to Select the Most Adequate Weighting Matrix
title_fullStr A Comparison Study on Criteria to Select the Most Adequate Weighting Matrix
title_full_unstemmed A Comparison Study on Criteria to Select the Most Adequate Weighting Matrix
title_sort A Comparison Study on Criteria to Select the Most Adequate Weighting Matrix
dc.creator.none.fl_str_mv Herrera Gomez, Marcos Hernan
Mur, Jesús
Ruiz, Manuel
author Herrera Gomez, Marcos Hernan
author_facet Herrera Gomez, Marcos Hernan
Mur, Jesús
Ruiz, Manuel
author_role author
author2 Mur, Jesús
Ruiz, Manuel
author2_role author
author
dc.subject.none.fl_str_mv Weights matrix
Model Selection
Entropy
Monte Carlo
topic Weights matrix
Model Selection
Entropy
Monte Carlo
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.2
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv The practice of spatial econometrics revolves around a weighting matrix, which is often supplied by the user on previous knowledge. This is the so called W issue and, probably, the aprioristic approach is not the best solution. However, we have to concur that, nowadays, there few alternatives for the user. Under these circumstances, our contribution focuses on the problem of selecting a W matrix from among a finite set of matrices, all of them deemed appropriate for the case. We develop a new and simple method based on the Entropy corresponding to the distribution probability estimated for the data. Other alternatives to ours, which are common in current applied work, are also reviewed. The main part of the paper consists of a large Monte Carlo resolved in order to calibrate the effectiveness of our approach compared to the others. A case study is also included.
Fil: Herrera Gomez, Marcos Hernan. Universidad Nacional de Salta. Facultad de Ciencias Económicas, Jurídicas y Sociales. Instituto de Estudios Laborales y del Desarrollo Económico; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Mur, Jesús. Universidad de Zaragoza; España
Fil: Ruiz, Manuel. Universidad Politécnica de Cartagena; España
description The practice of spatial econometrics revolves around a weighting matrix, which is often supplied by the user on previous knowledge. This is the so called W issue and, probably, the aprioristic approach is not the best solution. However, we have to concur that, nowadays, there few alternatives for the user. Under these circumstances, our contribution focuses on the problem of selecting a W matrix from among a finite set of matrices, all of them deemed appropriate for the case. We develop a new and simple method based on the Entropy corresponding to the distribution probability estimated for the data. Other alternatives to ours, which are common in current applied work, are also reviewed. The main part of the paper consists of a large Monte Carlo resolved in order to calibrate the effectiveness of our approach compared to the others. A case study is also included.
publishDate 2017
dc.date.none.fl_str_mv 2017-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/70566
Herrera Gomez, Marcos Hernan; Mur, Jesús; Ruiz, Manuel; A Comparison Study on Criteria to Select the Most Adequate Weighting Matrix; Universidad Nacional de Salta. Facultad de Ciencias Económicas, Jurídicas y Sociales. Instituto de Estudios Laborales y del Desarrollo Económico; Documentos de Trabajo; 18; 6-2017; 1-40
1852-1118
1852-1223
CONICET Digital
CONICET
url http://hdl.handle.net/11336/70566
identifier_str_mv Herrera Gomez, Marcos Hernan; Mur, Jesús; Ruiz, Manuel; A Comparison Study on Criteria to Select the Most Adequate Weighting Matrix; Universidad Nacional de Salta. Facultad de Ciencias Económicas, Jurídicas y Sociales. Instituto de Estudios Laborales y del Desarrollo Económico; Documentos de Trabajo; 18; 6-2017; 1-40
1852-1118
1852-1223
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.economicas.unsa.edu.ar/ielde/esp/documentos-de-trabajo.php
info:eu-repo/semantics/altIdentifier/url/https://ideas.repec.org/p/slt/wpaper/18.html
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidad Nacional de Salta. Facultad de Ciencias Económicas, Jurídicas y Sociales. Instituto de Estudios Laborales y del Desarrollo Económico
publisher.none.fl_str_mv Universidad Nacional de Salta. Facultad de Ciencias Económicas, Jurídicas y Sociales. Instituto de Estudios Laborales y del Desarrollo Económico
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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