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Robust correlates of county-level growth in the United States

Matthew Higgins (), Andrew Young () and Daniel Levy ()
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Andrew Young: TTU - Texas Tech University [Lubbock]

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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.

Keywords: Economic Growth; Conditional Convergence; Extreme Bounds Analysis; County-Level Data (search for similar items in EconPapers)
Date: 2008-05-03
Note: View the original document on HAL open archive server: https://hal.archives-ouvertes.fr/hal-02387733
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Published in Applied Economics Letters, Taylor & Francis (Routledge): SSH Titles, 2008, 17 (3), pp.293-296. ⟨10.1080/13504850701720254⟩

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Journal Article: Robust correlates of county-level growth in the United States (2010) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02387733

DOI: 10.1080/13504850701720254

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