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The Annals of Regional Science

, Volume 46, Issue 2, pp 369–377 | Cite as

Stochastic convergence tests for US regional per capita personal income; some further evidence: a research note

  • Ismail H. GencEmail author
  • Jon R. Miller
  • Anil Rupasingha
Original Paper

Abstract

This paper contributes to the time-series literature on US regional income convergence. We apply unit root tests to metropolitan and nonmetropolitan per capita personal income series from 1969 to 2001. We show that some of the mixed results on regional income convergence in the time-series literature may be the result of using different unit root tests. We demonstrate these mixed results with our data. Then, using a test we consider the most appropriate, we generate results which reject the hypothesis that US regional incomes are nonstationary. Thus, we provide additional support for the regional convergence of US per capita regional income.

JEL Classification

C13 C21 R11 R12 

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Copyright information

© Springer-Verlag 2009

Authors and Affiliations

  • Ismail H. Genc
    • 1
    Email author
  • Jon R. Miller
    • 2
  • Anil Rupasingha
    • 3
  1. 1.Department of EconomicsAmerican University of SharjahSharjahUAE
  2. 2.Department of Business and EconomicsUniversity of IdahoMoscowUSA
  3. 3.Department of Agricultural Economics and AgribusinessNew Mexico State UniversityLas CrucesUSA

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