Robust correlates of county-level growth in the United States

Matthew J. Higgins, Andrew T. Young, Daniel Levy

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

Higgins et al. (2006), report several statistically significant partial correlates with US 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 US growth.

Original languageEnglish
Pages (from-to)293-296
Number of pages4
JournalApplied Economics Letters
Volume17
Issue number3
DOIs
StatePublished - Feb 2010

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