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

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

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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  1. Edward E. Leamer, 1982. "Let's Take the Con Out of Econometrics," UCLA Economics Working Papers 239, UCLA Department of Economics.
  2. 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.
  3. Young, Andrew & Higgins, Matthew & Levy, Daniel, 2007. "Sigma Convergence versus Beta Convergence: Evidence from U.S. County-Level Data," MPRA Paper 2714, University Library of Munich, Germany.
  4. Young, Andrew & Higgins, Matthew & Levy, Daniel, 2006. "Heterogeneous Convergence," MPRA Paper 954, University Library of Munich, Germany.
  5. Evans, Paul & Karras, Georgios, 1996. "Convergence revisited," Journal of Monetary Economics, Elsevier, vol. 37(2-3), pages 249-265, April.
  6. 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.
  7. Paul Evans, 1997. "How Fast Do Economies Converge?," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 219-225, May.
  8. Levine, Ross & Renelt, David, 1991. "A sensitivity analysis of cross-country growth regressions," Policy Research Working Paper Series 609, The World Bank.
  9. Glaeser, Edward L. & Scheinkman, JoseA. & Shleifer, Andrei, 1995. "Economic growth in a cross-section of cities," Journal of Monetary Economics, Elsevier, vol. 36(1), pages 117-143, August.
  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. 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.
  12. 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.
  13. Matthew Higgins & Daniel Levy & Andrew T. Young, 2003. "Growth and Convergence across the US: Evidence from County-Level Data," Working Papers 2003-03, Bar-Ilan University, Department of Economics.
  14. 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.
  15. Mihai Nica, 2004. "Convergence in Mississippi: A Spatial Approach," Urban/Regional 0408007, EconWPA.
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