Black Populations and Economic Growth: An Extreme Bounds Analysis of Mississippi County-Level Data
Andrew T. Young
West Virginia University - College of Business and Economics
Matthew John Higgins
Georgia Institute of Technology - Scheller College of Business; National Bureau of Economic Research (NBER)
Bar-Ilan University - Department of Economics; Emory University - Department of Economics; Rimini Center for Economic Analysis
January 29, 2007
Emory Law and Economics Research Paper No. 07-06
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.
Number of Pages in PDF File: 20
Keywords: racial inequalities, Black populations, Solow growth model, speed of convergence, U.S. county-level data, Extreme Bounds Analysis, regional studies
JEL Classification: J15, O40, O11, O18, R11
Date posted: January 30, 2007
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