Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/206828
Authors: 
Higgins, Matthew J.
Young, Andrew T.
Levy, Daniel
Year of Publication: 
2010
Citation: 
[Journal:] Applied Economics Letters [ISSN:] 1466-4291 [Volume:] 17 [Issue:] 3 [Pages:] 293-296
Publisher: 
Taylor and Francis, London
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.
Subjects: 
Economic Growth
Conditional Convergence
Extreme Bounds Analysis
County-Level Data
JEL: 
O40
O11
O18
O51
R11
H50
H70
Published Version’s DOI: 
Document Type: 
Article
Document Version: 
Accepted Manuscript (Postprint)

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