Data/hora: 02/06/2024 18:27:55

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