165567 20260115130450.0 doi 10.1016/j.ecosta.2023.02.003 sideral 147277 ART-2026-147277 eng Olmo, Jose (orcid)0000-0002-0437-7812 A nonparametric spatial regression model using partitioning estimators 2026 Access copy available to the general public Unrestricted 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. info:eu-repo/grantAgreement/ES/DGA/LMP21-21 info:eu-repo/grantAgreement/ES/DGA/S39-20R info:eu-repo/grantAgreement/ES/MICINN/PID2019-104326GB-I00 info:eu-repo/semantics/embargoedAccess by-nc-nd https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es 0.69 2023 Economics and Econometrics 2023 Q2 Statistics, Probability and Uncertainty 2023 Q2 Statistics and Probability 2023 Q2 3.1 2023 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Sanso-Navarro, Marcos Universidad de Zaragoza (orcid)0000-0002-5926-2166 4000 415 Universidad de Zaragoza Dpto. Análisis Económico Área Fund. Análisis Económico 37 (2026), 126-153 Econometrics and Statistics 2452-3062 1106564 http://zaguan.unizar.es/record/165567/files/texto_completo.pdf Versión publicada 1829405 http://zaguan.unizar.es/record/165567/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:165567 articulos driver 2026-01-15-12:57:46 ARTICLE