TY - JOUR

T1 - A note on the extent of U.S. regional income convergence

AU - Holmes, Mark J.

AU - Otero, Jes̈us

AU - Panagiotidis, Theodore

N1 - Publisher Copyright:
© 2013 Cambridge University Press.
Copyright:
Copyright 2015 Elsevier B.V., All rights reserved.

PY - 2013/6/13

Y1 - 2013/6/13

N2 - Long-run income convergence is investigated in the U.S. context. We employ a novel pairwise econometric procedure based on a probabilistic definition of convergence. The time-series properties of all the possible regional income pairs are examined by means of unit root and non-cointegration tests, where inference is based on the fraction of rejections. We distinguish between the cases of strong convergence, where the implied cointegrating vector is [1, -1], and weak convergence, where long-run homogeneity is relaxed. To address cross-sectional dependence, we employ a bootstrap methodology to derive the empirical distribution of the fraction of rejections. We find supporting evidence of U.S. states sharing a common stochastic trend consistent with a definition of convergence based on long-run forecasts of state incomes being proportional rather than equal. We find that the strength of convergence between states decreases with distance and initial income disparity. Using Metropolitan Statistical Area data, evidence for convergence is stronger.

AB - Long-run income convergence is investigated in the U.S. context. We employ a novel pairwise econometric procedure based on a probabilistic definition of convergence. The time-series properties of all the possible regional income pairs are examined by means of unit root and non-cointegration tests, where inference is based on the fraction of rejections. We distinguish between the cases of strong convergence, where the implied cointegrating vector is [1, -1], and weak convergence, where long-run homogeneity is relaxed. To address cross-sectional dependence, we employ a bootstrap methodology to derive the empirical distribution of the fraction of rejections. We find supporting evidence of U.S. states sharing a common stochastic trend consistent with a definition of convergence based on long-run forecasts of state incomes being proportional rather than equal. We find that the strength of convergence between states decreases with distance and initial income disparity. Using Metropolitan Statistical Area data, evidence for convergence is stronger.

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U2 - 10.1017/S1365100513000060

DO - 10.1017/S1365100513000060

M3 - Review article

AN - SCOPUS:84910660009

VL - 18

SP - 1635

EP - 1655

JO - Macroeconomic Dynamics

JF - Macroeconomic Dynamics

SN - 1365-1005

IS - 7

ER -