Data/hora: 11/06/2024 01:08:23

Provedor de dados: 	31	
País: 	United States	
Título: 	A SPATIAL ECONOMETRIC STAR MODEL WITH AN APPLICATION TO U.S. COUNTY ECONOMIC GROWTH, 1969–2003	
Autores: 	Pede,   Valerien O.; Florax,   Raymond J.G.M.; Holt,   Matthew T.	
Data: 	2009-03-10	
Ano: 	2009	
Palavras-chave: 	Spatial autoregression; Smooth transition; Spatial econometrics; STAR; GWR; Community/Rural/Urban Development; Labor and Human Capital; Political Economy; Research Methods/ Statistical Methods; C21; C51; R11; R12.	
Resumo: 	Spatial regression models incorporating non-stationarity in the regression coefficients are popular. We propose a spatial variant of the Smooth Transition AutoRegressive (STAR) model that is more parsimonious than commonly used approaches and endogenously determines the extent of spatial parameter variation. Uncomplicated estimation and inference procedures are demonstrated using a neoclassical convergence model for United States counties.	
Tipo: 	Working or Discussion Paper	
Idioma: 	Inglês	
Identificador: 	http://purl.umn.edu/48117	
Relação: 	Purdue University&gt;Department of Agricultural Economics&gt;Working Papers

Working paper

09-03	
Formato: 	23 pages