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.
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Matthew J. Higgins & Daniel Levy & Andrew T. Young, 2006.
"Heterogeneous Convergence,"
Emory Economics
0615, Department of Economics, Emory University (Atlanta).
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Other versions:
Young, Andrew & Higgins, Matthew & Levy, Daniel, 2006.
"Heterogeneous Convergence,"
MPRA Paper
954, University Library of Munich, Germany.
[Downloadable!]
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