US regional income convergence: A spatial econometric perspective

Sergio J. Rey, Brett D. Montouri

Research output: Contribution to journalArticle

440 Citations (Scopus)

Abstract

US regional income convergence: a spatial econometric perspective, Reg. Studies 33, 143-156. This study reconsiders the question of US regional economic income convergence from a spatial econometric perspective. Recently developed methods of exploratory spatial data analysis provide new insights on the geographical dynamics of US regional income growth patterns over the 1929-94 period. Strong patterns of both global and local spatial autocorrelation are found throughout the study period, and the magnitude of global spatial autocorrelation is also found to exhibit strong temporal co-movement with regional income dispersion. A spatial econometric analysis of the familiar Baumol specification reveals strong evidence of misspecification due to ignored spatial error dependence. Because of this dependence, shocks originating in one state can spillover into surrounding states, potentially complicating the transitional dynamics of the convergence process.

Original languageEnglish (US)
Pages (from-to)143-156
Number of pages14
JournalRegional Studies
Volume33
Issue number2
StatePublished - Apr 1999
Externally publishedYes

Fingerprint

econometrics
income
autocorrelation
spatial data
data analysis
economics
evidence

Keywords

  • Exploratory spatial data analysis
  • Regional income convergence
  • Spatial econometrics

ASJC Scopus subject areas

  • Environmental Science (miscellaneous)

Cite this

Rey, S. J., & Montouri, B. D. (1999). US regional income convergence: A spatial econometric perspective. Regional Studies, 33(2), 143-156.

US regional income convergence : A spatial econometric perspective. / Rey, Sergio J.; Montouri, Brett D.

In: Regional Studies, Vol. 33, No. 2, 04.1999, p. 143-156.

Research output: Contribution to journalArticle

Rey, SJ & Montouri, BD 1999, 'US regional income convergence: A spatial econometric perspective', Regional Studies, vol. 33, no. 2, pp. 143-156.
Rey, Sergio J. ; Montouri, Brett D. / US regional income convergence : A spatial econometric perspective. In: Regional Studies. 1999 ; Vol. 33, No. 2. pp. 143-156.
@article{18440630bdcb460b8e31eb78244c5e57,
title = "US regional income convergence: A spatial econometric perspective",
abstract = "US regional income convergence: a spatial econometric perspective, Reg. Studies 33, 143-156. This study reconsiders the question of US regional economic income convergence from a spatial econometric perspective. Recently developed methods of exploratory spatial data analysis provide new insights on the geographical dynamics of US regional income growth patterns over the 1929-94 period. Strong patterns of both global and local spatial autocorrelation are found throughout the study period, and the magnitude of global spatial autocorrelation is also found to exhibit strong temporal co-movement with regional income dispersion. A spatial econometric analysis of the familiar Baumol specification reveals strong evidence of misspecification due to ignored spatial error dependence. Because of this dependence, shocks originating in one state can spillover into surrounding states, potentially complicating the transitional dynamics of the convergence process.",
keywords = "Exploratory spatial data analysis, Regional income convergence, Spatial econometrics",
author = "Rey, {Sergio J.} and Montouri, {Brett D.}",
year = "1999",
month = "4",
language = "English (US)",
volume = "33",
pages = "143--156",
journal = "Regional Studies",
issn = "0034-3404",
publisher = "Routledge",
number = "2",

}

TY - JOUR

T1 - US regional income convergence

T2 - A spatial econometric perspective

AU - Rey, Sergio J.

AU - Montouri, Brett D.

PY - 1999/4

Y1 - 1999/4

N2 - US regional income convergence: a spatial econometric perspective, Reg. Studies 33, 143-156. This study reconsiders the question of US regional economic income convergence from a spatial econometric perspective. Recently developed methods of exploratory spatial data analysis provide new insights on the geographical dynamics of US regional income growth patterns over the 1929-94 period. Strong patterns of both global and local spatial autocorrelation are found throughout the study period, and the magnitude of global spatial autocorrelation is also found to exhibit strong temporal co-movement with regional income dispersion. A spatial econometric analysis of the familiar Baumol specification reveals strong evidence of misspecification due to ignored spatial error dependence. Because of this dependence, shocks originating in one state can spillover into surrounding states, potentially complicating the transitional dynamics of the convergence process.

AB - US regional income convergence: a spatial econometric perspective, Reg. Studies 33, 143-156. This study reconsiders the question of US regional economic income convergence from a spatial econometric perspective. Recently developed methods of exploratory spatial data analysis provide new insights on the geographical dynamics of US regional income growth patterns over the 1929-94 period. Strong patterns of both global and local spatial autocorrelation are found throughout the study period, and the magnitude of global spatial autocorrelation is also found to exhibit strong temporal co-movement with regional income dispersion. A spatial econometric analysis of the familiar Baumol specification reveals strong evidence of misspecification due to ignored spatial error dependence. Because of this dependence, shocks originating in one state can spillover into surrounding states, potentially complicating the transitional dynamics of the convergence process.

KW - Exploratory spatial data analysis

KW - Regional income convergence

KW - Spatial econometrics

UR - http://www.scopus.com/inward/record.url?scp=0033005471&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0033005471&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0033005471

VL - 33

SP - 143

EP - 156

JO - Regional Studies

JF - Regional Studies

SN - 0034-3404

IS - 2

ER -