Robust Correlates of County-level Growth in the U.S.
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.
Year of publication: |
2007-05
|
---|---|
Authors: | Higgins, Matthew J. ; Levy, Daniel ; Young, Andrew T. |
Institutions: | Department of Economics, Emory University |
Saved in:
Saved in favorites
Similar items by person
-
Federal, State, and Local Governments: Evaluating Their Separate Roles in U.S. Growth
Higgins, Matthew J., (2006)
-
Black Populations and Economic Growth: An Extreme Bounds Analysis of Mississippi County-level Data
Higgins, Matthew J., (2007)
-
Federal, State, and Local Governments: Evaluating Their Separate Roles in U.S. Growth
Higgins, Matthew J., (2008)
- More ...