A nonparametric spatial regression model using partitioning estimators
Olmo, Jose ; Sanso-Navarro, Marcos (Universidad de Zaragoza)
Resumen: Conventional spatial regression models are extended by modelling the spatial effects of the exogenous regressor model (SLX) as a functional coefficient. This coefficient is estimated by partitioning the domain of the spatial variable into a set of disjoint intervals and approximating the function using local Taylor expansions. The asymptotic properties of the proposed partitioning estimator are derived, and pointwise and uniform tests for the presence of spatial effects are developed. An empirical application of this work is used to study environmental Engel curves and provides strong evidence of neighbouring effects in the relationship between households’ income and the amount of pollution embodied in the goods and services they consume.
Idioma: Inglés
DOI: 10.1016/j.ecosta.2023.02.003
Año: 2026
Publicado en: Econometrics and Statistics 37 (2026), 126-153
ISSN: 2452-3062
Factor impacto CITESCORE: 3.1 - Economics and Econometrics (Q2) - Statistics, Probability and Uncertainty (Q2) - Statistics and Probability (Q2)
Factor impacto SCIMAGO: 0.69 - Economics and Econometrics (Q2) - Statistics, Probability and Uncertainty (Q2) - Statistics and Probability (Q2)
Financiación: info:eu-repo/grantAgreement/ES/DGA/LMP21-21
Financiación: info:eu-repo/grantAgreement/ES/DGA/S39-20R
Financiación: info:eu-repo/grantAgreement/ES/MICINN/PID2019-104326GB-I00
Tipo y forma: Article (PostPrint)
Área (Departamento): Área Fund. Análisis Económico (Dpto. Análisis Económico)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you may not distribute the modified material.
Exportado de SIDERAL (2026-01-15-12:57:46)
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Idioma: Inglés
DOI: 10.1016/j.ecosta.2023.02.003
Año: 2026
Publicado en: Econometrics and Statistics 37 (2026), 126-153
ISSN: 2452-3062
Factor impacto CITESCORE: 3.1 - Economics and Econometrics (Q2) - Statistics, Probability and Uncertainty (Q2) - Statistics and Probability (Q2)
Factor impacto SCIMAGO: 0.69 - Economics and Econometrics (Q2) - Statistics, Probability and Uncertainty (Q2) - Statistics and Probability (Q2)
Financiación: info:eu-repo/grantAgreement/ES/DGA/LMP21-21
Financiación: info:eu-repo/grantAgreement/ES/DGA/S39-20R
Financiación: info:eu-repo/grantAgreement/ES/MICINN/PID2019-104326GB-I00
Tipo y forma: Article (PostPrint)
Área (Departamento): Área Fund. Análisis Económico (Dpto. Análisis Económico)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you may not distribute the modified material. Exportado de SIDERAL (2026-01-15-12:57:46)
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Articles > Artículos por área > Fundamentos del Análisis Económico
Record created 2026-01-12, last modified 2026-01-15