A SPATIAL ECONOMETRIC STAR MODEL WITH AN APPLICATION TO U.S. COUNTY ECONOMIC GROWTH, 1969-2003

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.

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Year of publication:	2009
Authors:	Pede, Valerien O.
Institutions:	Department of Agricultural Economics, Purdue University
Subject:	spatial autoregression \| smooth transition \| spatial econometrics \| STAR \| GWR

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Extent:	application/pdf
Series:	Working Papers.
Type of publication:	Book / Working Paper
Language:	English
Notes:	Number 09-03 23 pages
Classification:	C21 - Cross-Sectional Models; Spatial Models ; C51 - Model Construction and Estimation ; R11 - Regional Economic Activity: Growth, Development, and Changes ; R12 - Size and Spatial Distributions of Regional Economic Activity
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005049625