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

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  • Higgins, Matthew
  • Young, Andrew
  • Levy, Daniel

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.

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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 3088.

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Date of creation: 04 May 2007
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Handle: RePEc:pra:mprapa:3088

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Keywords: Economic Growth; Conditional Convergence; Extreme Bounds Analysis; County-Level Data;

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References

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  1. Xavier Sala-I-Martin & Gernot Doppelhofer & Ronald I. Miller, 2004. "Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach," American Economic Review, American Economic Association, American Economic Association, vol. 94(4), pages 813-835, September.
  2. Leamer, Edward E, 1985. "Sensitivity Analyses Would Help," American Economic Review, American Economic Association, American Economic Association, vol. 75(3), pages 308-13, June.
  3. Levine, Ross, 2005. "Finance and Growth: Theory and Evidence," Handbook of Economic Growth, Elsevier, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 12, pages 865-934 Elsevier.
  4. Matthew Higgins & Daniel Levy & Andrew Young, 2003. "Growth and Convergence across the U.S.: Evidence from County-level Data," Emory Economics, Department of Economics, Emory University (Atlanta) 0306, Department of Economics, Emory University (Atlanta).
  5. Andrew T. Young & Matthew J. Higgins & Daniel Levy, 2003. "Sigma Convergence Versus Beta Convergence: Evidence from U.S. County-Level Data," Working Papers, Bar-Ilan University, Department of Economics 2003-06, Bar-Ilan University, Department of Economics.
  6. Andrew T. Young & Matthew J. Higgins & Daniel Levy, 2013. "Heterogeneous Convergence," Working Papers, Bar-Ilan University, Department of Economics 2013-04, Bar-Ilan University, Department of Economics.
  7. Evans, Paul & Karras, Georgios, 1996. "Do Economies Converge? Evidence from a Panel of U.S. States," The Review of Economics and Statistics, MIT Press, vol. 78(3), pages 384-88, August.
  8. Paul Evans, 1997. "How Fast Do Economies Converge?," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 219-225, May.
  9. Leamer, Edward E, 1983. "Let's Take the Con Out of Econometrics," American Economic Review, American Economic Association, American Economic Association, vol. 73(1), pages 31-43, March.
  10. Evans, Paul & Karras, Georgios, 1996. "Convergence revisited," Journal of Monetary Economics, Elsevier, Elsevier, vol. 37(2-3), pages 249-265, April.
  11. Levine, Ross & Renelt, David, 1992. "A Sensitivity Analysis of Cross-Country Growth Regressions," American Economic Review, American Economic Association, American Economic Association, vol. 82(4), pages 942-63, September.
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Cited by:
  1. Matthew Higgins & Andrew Young & Daniel Levy, 2009. "Federal, state, and local governments: evaluating their separate roles in US growth," Public Choice, Springer, Springer, vol. 139(3), pages 493-507, June.

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