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Semiparametric Spatial Autoregressive Geoadditive Models

Roberto Basile (), Saime Kayam (), Román Mínguez (), Jose María Montero () and Jesus Mur
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Roberto Basile: Second University of Naples
Román Mínguez: University of Castilla-La Mancha
Jose María Montero: University of Castilla-La Mancha

A chapter in Complexity and Geographical Economics, 2015, pp 73-98 from Springer

Abstract: Abstract Modeling regional economic dynamics requires the adoption of complex econometric tools, which allow us to deal with some important methodological issues, such as spatial dependence, spatial heterogeneity and nonlinearities. Recent developments in the spatial econometrics literature have provided some instruments (such as Spatial Autoregressive Semiparametric Geoadditive Models), which address these issues simultaneously and, therefore, are of great use for practitioners. In this paper we describe these methodological contributions and present some applications of these methodologies in the fields of regional science and economic geography.

Keywords: Smoothing Parameter; Geographically Weight Regression; Semiparametric Model; Spatial Spillover; Spatial Durbin Model (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:dymchp:978-3-319-12805-4_4

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DOI: 10.1007/978-3-319-12805-4_4

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