2007
DOI: 10.1080/00343400601120254
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Are Regional Incomes in the USA Converging? A Non-linear Perspective

Abstract: Christopoulos D. K. and Tsionas E. G. (2007) Are regional incomes in the USA converging? A non-linear perspective, Regional Studies 41, 525-530. This article deviates from the current practice of regional convergence by allowing output convergence to follow a non-linear process. In this scenario all standard linear unit root tests have low power, thus frequently leading to misguided conclusions. In light of this a unit root test based on a non-linear model is adopted which tests the null hypothesis of a unit r… Show more

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Cited by 18 publications
(5 citation statements)
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“…Note that earlier studies that examine regional economic growth and convergence in the US (e.g., across US states) also mostly use parametric techniques (e.g.,Christopoulos and Tsionas 2007;Drivas, Economidou and Tsionas 2017;Tsionas 2000;Tsionas 2001). …”
mentioning
confidence: 99%
“…Note that earlier studies that examine regional economic growth and convergence in the US (e.g., across US states) also mostly use parametric techniques (e.g.,Christopoulos and Tsionas 2007;Drivas, Economidou and Tsionas 2017;Tsionas 2000;Tsionas 2001). …”
mentioning
confidence: 99%
“…They find evidence of "regime-wise stationarity" in U.S. state personal income during the twentieth century. Christopoulos and Tsionas (2007) allow output convergence to follow a non-linear process. They use the logarithm of regional aggregated real per capita personal income over…”
Section: Literature Reviewmentioning
confidence: 99%
“…It is also conceivable that, even though the series may be strongly mean reverting when deviations are large, its rate of mean reversion could become so low when it is close to equilibrium that the series becomes indistinguishable from a random walk. Similar analysis has been applied to other areas of economic research, for example income convergence (Christopoulos and Tsionas, 2007;Chong et al, 2008) and real exchange rate analysis (Taylor et al, 2001;Paya et al, 2003). J. C. CUESTAS AND C. RAMLOGAN-DOBSON There is no shortage of research on inflation dynamics.…”
Section: Background and Literature Reviewmentioning
confidence: 99%