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Spatial J-test: some Monte Carlo evidence
Indexado
WoS WOS:000297543400012
Scopus SCOPUS_ID:81955167669
DOI 10.1007/S11222-010-9215-Y
Año 2012
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



Researchers using spatial econometric methods generally assume a known structure for the process being modeled embedded in a spatial weights matrix. The present paper evaluates the performance of the J-test in selecting the most appropriate spatial structure in the context of a Monte Carlo study. Results suggest that the J-test performs well when used to select between different weights matrices. Increases in power are associated with the use of the full set of instruments.

Revista



Revista ISSN
Statistics And Computing 0960-3174

Métricas Externas



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Disciplinas de Investigación



WOS
Computer Science, Theory & Methods
Statistics & Probability
Scopus
Sin Disciplinas
SciELO
Sin Disciplinas

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 Piras, Gianfranco Hombre W VIRGINIA UNIV - Estados Unidos
Universidad Católica del Norte - Chile
West Virginia University - Estados Unidos
2 Lozano-Gracia, Nancy Mujer World Bank - Estados Unidos
The World Bank, USA - Estados Unidos

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Financiamiento



Fuente
Nuclei of the Millennium Science Initiative Program "Regional Sciences and Public Policy (MIDEPLAN - Chile)

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Agradecimientos



Agradecimiento
Previous versions of the present paper were presented at the Annual Meeting of the Regional Science Association International, New York, November 2008 and at the Department of Economics of the Universidad Catolica del Norte, Antofagasta, Chile. Comments from all participants were extremely useful to improve the overall quality of the paper. A special thanks is due to Harry Kelejian for various comments on earlier versions of the paper. Gianfranco Piras acknowledges financial support from the Nuclei of the Millennium Science Initiative Program "Regional Sciences and Public Policy (MIDEPLAN - Chile). Usual disclaimers apply.
Previous versions of the present paper were presented at the Annual Meeting of the Regional Science Association International, New York, November 2008 and at the Department of Economics of the Universidad Catolica del Norte, Antofagasta, Chile. Comments from all participants were extremely useful to improve the overall quality of the paper. A special thanks is due to Harry Kelejian for various comments on earlier versions of the paper. Gianfranco Piras acknowledges financial support from the Nuclei of the Millennium Science Initiative Program “Regional Sciences and Public Policy (MIDEPLAN - Chile). Usual disclaimers apply.

Muestra la fuente de financiamiento declarada en la publicación.