Modeling regional economic dynamics: Spatial dependence, spatial heterogeneity and nonlinearities

Roberto Basile (), María Durbán, Román Mínguez, Jose María Montero and Jesus Mur

Journal of Economic Dynamics and Control, 2014, vol. 48, issue C, 229-245

Abstract: Spatial modeling of economic phenomena requires the adoption of complex econometric tools, which allow us to deal with important methodological issues, such as spatial dependence, spatial unobserved heterogeneity and nonlinearities. In this paper we describe some recently developed econometric approaches (i.e. Spatial Autoregressive Semiparametric Geoadditive Models), which address the three issues simultaneously. We also illustrate the relative performance of these methods with an application to the case of house prices in the Lucas County.

Keywords: Spatial econometrics; Nonlinearities; Semiparametric models (search for similar items in EconPapers)
JEL-codes: C14 R11 R12 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (35)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:dyncon:v:48:y:2014:i:c:p:229-245

DOI: 10.1016/j.jedc.2014.06.011

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