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Modeling Non-Linear Spatial Dynamics: A Family of Spatial STAR Models and an Application to U.S. Economic Growth AgEcon
Pede, Valerien O.; Florax, Raymond J.G.M.; Holt, Matthew T..
This paper investigates non-linearity in spatial processes models and allows for a gradual regime-switching structure in the form of a smooth transition autoregressive process. Until now, applications of the smooth transition autoregressive (STAR) model have been largely confined to the time series context. The paper focuses on extending the non-linear smooth transition perspective to spatial processes models, in which spatial correlation is taken into account through the use of a so-called weights matrix identifying the topology of the spatial system. We start by deriving a non-linearity test for a simple spatial model, in which spatial correlation is only included in the transition function. Next, we propose a non-linearity test for a model that includes...
Tipo: Conference Paper or Presentation Palavras-chave: Spatial econometrics; Non-linearity; Utoregressive smooth transition; Research Methods/ Statistical Methods; C12; C21; C51; O18; R11.
Ano: 2008 URL: http://purl.umn.edu/6518
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