The Scan-LM to Test Instability in the Constant Coefficient of Spatial Autoregressive Models

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This paper presents a test based on the principle of Lagrange Multipliers to identify spatial instability in the constant coefficient of regression models including substantive spatial dependence. The test has been adapted to the Scan methodology. Its main advantage is that it identifies areas with...

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Detalles Bibliográficos
Autores: López Hernández, Fernando A., Mínguez Salidos, Román
Formato: artículo
Fecha de Publicación:2021
Institución:Pontificia Universidad Católica del Perú
Repositorio:Revistas - Pontificia Universidad Católica del Perú
Lenguaje:inglés
OAI Identifier:oai:revistaspuc:article/23957
Enlace del recurso:http://revistas.pucp.edu.pe/index.php/economia/article/view/23957
Nivel de acceso:acceso abierto
Materia:Parametric instability
Hypothesis test
Lagrange Multipliers
Scan methodology
Spatial autocorrelation
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spelling The Scan-LM to Test Instability in the Constant Coefficient of Spatial Autoregressive ModelsLópez Hernández, Fernando A.Mínguez Salidos, RománParametric instabilityHypothesis testLagrange MultipliersScan methodologySpatial autocorrelationThis paper presents a test based on the principle of Lagrange Multipliers to identify spatial instability in the constant coefficient of regression models including substantive spatial dependence. The test has been adapted to the Scan methodology. Its main advantage is that it identifies areas with differential behavior without the need to provide information about their location, shape, or size. The study shows the utility of the test, reconsidering the results obtained by Mur et al.(2008) about instability in the distribution of per capita income in European regions.Pontificia Universidad Católica del Perú2021-05-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://revistas.pucp.edu.pe/index.php/economia/article/view/2395710.18800/economia.202101.005Economía; Volume 44 Issue 87 (2021); 74-882304-43060254-4415reponame:Revistas - Pontificia Universidad Católica del Perúinstname:Pontificia Universidad Católica del Perúinstacron:PUCPenghttp://revistas.pucp.edu.pe/index.php/economia/article/view/23957/22771http://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessoai:revistaspuc:article/239572022-04-12T13:44:15Z
dc.title.none.fl_str_mv The Scan-LM to Test Instability in the Constant Coefficient of Spatial Autoregressive Models
title The Scan-LM to Test Instability in the Constant Coefficient of Spatial Autoregressive Models
spellingShingle The Scan-LM to Test Instability in the Constant Coefficient of Spatial Autoregressive Models
López Hernández, Fernando A.
Parametric instability
Hypothesis test
Lagrange Multipliers
Scan methodology
Spatial autocorrelation
title_short The Scan-LM to Test Instability in the Constant Coefficient of Spatial Autoregressive Models
title_full The Scan-LM to Test Instability in the Constant Coefficient of Spatial Autoregressive Models
title_fullStr The Scan-LM to Test Instability in the Constant Coefficient of Spatial Autoregressive Models
title_full_unstemmed The Scan-LM to Test Instability in the Constant Coefficient of Spatial Autoregressive Models
title_sort The Scan-LM to Test Instability in the Constant Coefficient of Spatial Autoregressive Models
dc.creator.none.fl_str_mv López Hernández, Fernando A.
Mínguez Salidos, Román
author López Hernández, Fernando A.
author_facet López Hernández, Fernando A.
Mínguez Salidos, Román
author_role author
author2 Mínguez Salidos, Román
author2_role author
dc.subject.none.fl_str_mv Parametric instability
Hypothesis test
Lagrange Multipliers
Scan methodology
Spatial autocorrelation
topic Parametric instability
Hypothesis test
Lagrange Multipliers
Scan methodology
Spatial autocorrelation
description This paper presents a test based on the principle of Lagrange Multipliers to identify spatial instability in the constant coefficient of regression models including substantive spatial dependence. The test has been adapted to the Scan methodology. Its main advantage is that it identifies areas with differential behavior without the need to provide information about their location, shape, or size. The study shows the utility of the test, reconsidering the results obtained by Mur et al.(2008) about instability in the distribution of per capita income in European regions.
publishDate 2021
dc.date.none.fl_str_mv 2021-05-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://revistas.pucp.edu.pe/index.php/economia/article/view/23957
10.18800/economia.202101.005
url http://revistas.pucp.edu.pe/index.php/economia/article/view/23957
identifier_str_mv 10.18800/economia.202101.005
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://revistas.pucp.edu.pe/index.php/economia/article/view/23957/22771
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Pontificia Universidad Católica del Perú
publisher.none.fl_str_mv Pontificia Universidad Católica del Perú
dc.source.none.fl_str_mv Economía; Volume 44 Issue 87 (2021); 74-88
2304-4306
0254-4415
reponame:Revistas - Pontificia Universidad Católica del Perú
instname:Pontificia Universidad Católica del Perú
instacron:PUCP
instname_str Pontificia Universidad Católica del Perú
instacron_str PUCP
institution PUCP
reponame_str Revistas - Pontificia Universidad Católica del Perú
collection Revistas - Pontificia Universidad Católica del Perú
repository.name.fl_str_mv
repository.mail.fl_str_mv
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