RT info:eu-repo/semantics/article
T1 Identifying nonlinear spatial dependence patterns by using non-parametric tests: evidence for the European Union
T2 Identificando estructuras espaciales no lineales utilizando test no paramétricos: Evidencias para las Regiones Europeas
A1 López Hernández, Fernando Antonio
A1 Artal Tur, Andrés
A1 Maté Sánchez-Val, María Luz
K1 Nonlinear processes
K1 Non-parametric tests
K1 Spatial dependence
K1 Spatial filters
K1 EU regions
K1 Procesos no lineales
K1 Contrastes no paramétricos
K1 Dependencia espacial
K1 Filtros espaciales
K1 Regiones europeas
K1 Economía
K1 Economics
K1 Geografía
K1 Geography
K1 Sociología
K1 Sociology
AB Accounting for spatial structures in econometric studies is becomingan issue of special interest, given the presence of spatial dependence and spatial heterogeneity problems arising in data. Generally, researchers have been employing parametric tests for detecting spatial dependence structures: Moran’s I and LM tests in spatial regressions are the most popular approaches employed in literature. However, this approach remains misleading in the presence of nonlinear spatial structures, inducing important biases in the estimation of the parameters of the model. In this paper we illustrate that issue by applying three non-parametrical proposals when testing for spatial structure in data. Empirical findings for the regions of theEuropean Union show important failures of traditional parametric tests if nonlinearities characterise geo-referenced data. Our results clearly recommend employing new families of tests, beyond parametrical ones, when working in such environments.
PB Asociación Española de Ciencia Regional (AECR)
SN 2340-2717
YR 2011
FD 2011
LK http://hdl.handle.net/10017/27437
UL http://hdl.handle.net/10017/27437
LA eng
DS MINDS@UW
RD 19-abr-2024