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

被引：52

作者：

Basile, Roberto ^{[1
]}

Durban, Maria ^{[2
]}

Minguez, Roman ^{[3
]}

Montero, Jose Maria ^{[4
]}

Mur, Jesus ^{[5
]}

机构：

[1] Univ Naples 2, Dept Econ, Corso Gran Priorato di Malta 1, I-81043 Capua, CE, Italy

[2] Univ Carlos III Madrid, Dept Stat, Madrid, Spain

[3] Univ Castilla La Mancha, Dept Stat, Cuenca, Spain

[4] Univ Castilla La Mancha, Dept Stat, Toledo, Spain

[5] Univ Zaragoza, Dept Econ Anal, Zaragoza, Spain

来源：

JOURNAL OF ECONOMIC DYNAMICS & CONTROL | 2014年 / 48卷

关键词：

Spatial econometrics; Nonlinearities; Semiparametric models; HOUSING PRICES; URBAN SPRAWL; ECONOMETRICS; GROWTH; EXTERNALITIES; SPECIFICATION; DIFFUSION;

D O I：

10.1016/j.jedc.2014.06.011

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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. (c) 2014 Elsevier B.V. All rights reserved.

引用

页码：229 / 245

页数：17

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