Robust Correlates of County-Level Growth in the U.S.
Matthew John Higgins
Scheller College of Business, Georgia Institute of Technology; National Bureau of Economic Research (NBER)
Andrew T. Young
West Virginia University - College of Business and Economics
Bar-Ilan University - Department of Economics; Emory University - Department of Economics; Rimini Center for Economic Analysis
Applied Economics Letters, 2010, vol 17, no 3, pp. 293-296
Emory Law and Economics Research Paper No. 07-19
Emory Public Law Research Paper No. 07-22
Higgins et al. (2006) report several statistically significant partial correlates with U.S. per capita income growth. However, Levine and Renelt (1992) demonstrate that such correlations are hardly ever robust to changing the combination of conditioning variables included. We ask whether the same is true for the variables identified as important by Higgins et al. Using the extreme bounds analysis of Levine and Renelt, we find that the majority of the partial correlations can be accepted as robust. The variables associated with those partial correlations stand solidly as variables of interest for future studies of U.S. growth.
Keywords: Economic Growth, Conditional Convergence, Extreme Bounds Analysis, County-Level Data
JEL Classification: O40, O11, O18, O51, R11, H50, H70Accepted Paper Series
Date posted: October 16, 2007 ; Last revised: July 29, 2013
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