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Black Populations and Economic Growth: An Extreme Bounds Analysis of Mississippi County-Level Data

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

Abstract

We use Mississippi county-level data on (per capita) income and the percentages of populations that are Black (henceforth "Black") to examine the relationship between race and economic growth. The analysis is also conditioned on 40 other economic and socio-demographic variables. Given a negative and statistically significant partial correlation between income growth and Black, we ask if it is robust to exhaustive combinations of other conditioning variables (taken 3 at a time). The evidence suggests yes. Since even robust correlation does not imply causation, we then ask if other robust correlates with income growth play a roll in accounting for Black in the data. The answer “yes” is obtained for only one other robust correlate of the "right" sign: the percentage of a population that is below the poverty level.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 1646.

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Date of creation: 29 Jan 2007
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Handle: RePEc:pra:mprapa:1646

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Keywords: Racial Inequalities; Black Populations; Solow Growth Model; Speed of Convergence; U.S. County-Level Data; Extreme Bounds Analysis;

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  1. Glaeser, E.L. & Scheinkman, J.A., 1993. "Economic Growth in a Cross-Section of Cities," Harvard Institute of Economic Research Working Papers 1645, Harvard - Institute of Economic Research.
  2. Andrew T. Young & Matthew J. Higgins & Daniel Levy, 2011. "Heterogeneous Convergence," Emory Economics 1106, Department of Economics, Emory University (Atlanta).
  3. Levernier, William & Partridge, Mark D. & Rickman, Dan S., 1998. "Differences in Metropolitan and Nonmetropolitan U.S. Family Income Inequality: A Cross-County Comparison," Journal of Urban Economics, Elsevier, vol. 44(2), pages 272-290, September.
  4. Evans, Paul, 1996. "Using cross-country variances to evaluate growth theories," Journal of Economic Dynamics and Control, Elsevier, vol. 20(6-7), pages 1027-1049.
  5. Paul Evans, 1997. "How Fast Do Economies Converge?," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 219-225, May.
  6. Mankiw, N Gregory & Romer, David & Weil, David N, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, MIT Press, vol. 107(2), pages 407-37, May.
  7. Matthew Higgins & Daniel Levy & Andrew Young, 2005. "Growth and Convergence across the US: Evidence from County-Level Data," Macroeconomics 0505009, EconWPA.
  8. Evans, Paul & Karras, Georgios, 1996. "Convergence revisited," Journal of Monetary Economics, Elsevier, vol. 37(2-3), pages 249-265, April.
  9. Andrew T. Young & Matthew J. Higgins & Daniel Levy, 2003. "Sigma Convergence Versus Beta Convergence: Evidence from U.S. County-Level Data," Working Papers 2003-06, Department of Economics, Bar-Ilan University.
  10. Levine, Ross & Renelt, David, 1992. "A Sensitivity Analysis of Cross-Country Growth Regressions," American Economic Review, American Economic Association, vol. 82(4), pages 942-63, September.
  11. 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.
  12. Matthew J Higgins & Daniel Levy & Andrew T Young, 2006. "Growth and Convergence across the United States: Evidence from County-Level Data," The Review of Economics and Statistics, MIT Press, vol. 88(4), pages 671-681, 09.
  13. Mihai Nica, 2004. "Convergence in Mississippi: A Spatial Approach," Urban/Regional 0408007, EconWPA.
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