A SPATIAL ECONOMETRIC STAR MODEL WITH AN APPLICATION TO U.S. COUNTY ECONOMIC GROWTH, 1969–2003
Valerien Pede (),
Raymond Florax and
Matthew Holt
No 48117, Working papers from Purdue University, 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: Community/Rural/Urban Development; Labor and Human Capital; Political Economy; Research Methods/ Statistical Methods (search for similar items in EconPapers)
Pages: 23 pages
Date: 2009-03
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
https://ageconsearch.umn.edu/record/48117/files/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:ags:puaewp:48117
DOI: 10.22004/ag.econ.48117
Access Statistics for this paper
More papers in Working papers from Purdue University, Department of Agricultural Economics Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().