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

Valerien Pede ()

No 09-03, Working Papers from Purdue University, College of Agriculture, Department of Agricultural Economics

Abstract: 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.

Keywords: spatial autoregression; smooth transition; spatial econometrics; STAR; GWR (search for similar items in EconPapers)
JEL-codes: C21 C51 R11 R12 (search for similar items in EconPapers)
Pages: 23 pages
Date: 2009
New Economics Papers: this item is included in nep-ecm and nep-mkt
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://ageconsearch.umn.edu/bitstream/48117/2/09-03.pdf (application/pdf)

Related works:
Working Paper: A SPATIAL ECONOMETRIC STAR MODEL WITH AN APPLICATION TO U.S. COUNTY ECONOMIC GROWTH, 1969–2003 (2009)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pae:wpaper:09-03

Access Statistics for this paper

More papers in Working Papers from Purdue University, College of Agriculture, Department of Agricultural Economics Contact information at EDIRC.
Bibliographic data for series maintained by Debby Weber ().