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

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  • Matthew J. Higgins
  • Daniel Levy
  • Andrew T. Young

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 sociodemographic 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 Department of Economics, Emory University (Atlanta) in its series Emory Economics with number 0701.

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Date of creation: Jan 2007
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Handle: RePEc:emo:wp2003:0701

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  1. 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, November.
  2. Andrew Young & Matthew Higgins & Daniel Levy, 2013. "Heterogeneous Convergence," Emory Economics 1302, Department of Economics, Emory University (Atlanta).
  3. Andrew Young & Matthew Higgins & Daniel Levy, 2005. "Sigma-Convergence Versus Beta-Convergence: Evidence from U.S. County-Level Data," Macroeconomics 0505008, EconWPA.
  4. Mihai Nica, 2004. "Convergence in Mississippi: A Spatial Approach," Urban/Regional 0408007, EconWPA.
  5. 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.
  6. Matthew Higgins & Daniel Levy & Andrew Young, 2005. "Growth and Convergence across the U.S: Evidence from County-Level Data," Macroeconomics 0509023, EconWPA.
  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. Evans, Paul & Karras, Georgios, 1996. "Convergence revisited," Journal of Monetary Economics, Elsevier, vol. 37(2-3), pages 249-265, April.
  10. Connaughton, John E. & Madsen, Ronald A., 2004. "Explaining Per Capita Personal Income Differences between States," The Review of Regional Studies, Southern Regional Science Association, vol. 34(2), pages 206-220.
  11. Levine, Ross & Renelt, David, 1991. "A sensitivity analysis of cross-country growth regressions," Policy Research Working Paper Series 609, The World Bank.
  12. 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.
  13. Leamer, Edward E, 1983. "Let's Take the Con Out of Econometrics," American Economic Review, American Economic Association, vol. 73(1), pages 31-43, March.
  14. 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.
  15. 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.
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