Robust Correlates of County-Level Growth in the U.S

Matthew Higgins, Andrew Young () and Daniel Levy ()

MPRA Paper from University Library of Munich, Germany

Abstract: 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 (search for similar items in EconPapers)
JEL-codes: H50 H70 O11 O18 O40 O47 O51 R11 (search for similar items in EconPapers)
Date: 2007-05-04
New Economics Papers: this item is included in nep-geo and nep-pbe
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Related works:
Journal Article: Robust Correlates of County-Level Growth in the U.S (2010)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:3088

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