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Growth and Convergence across the U.S.: Evidence from County-Level Data Author info | Abstract | Publisher info | Download info | Related research | Statistics Matthew J. Higgins
Daniel Levy ()
Andrew T. Young
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We use U.S. county data (3,058 observations) and 41 conditioning variables to study growth and convergence. Using OLS and 3SLS-IV we report on the full sample and metro, non-metro, and 5 regional samples: (1) OLS yields convergence rates around 2 percent; 3SLS yields 6–8 percent; (2) convergence rates vary (e.g., the Southern rate is 2.5 times the Northeastern rate); (3) federal, state and local government negatively correlates with growth; (4) the relationship between educational attainment and growth is nonlinear; and (5) finance, insurance & real estate industry and entertainment industry positively correlates with growth while education employment negatively correlates.
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Paper provided by Department of Economics, Emory University (Atlanta) in its series Emory Economics with number
0529.
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Date of creation: Sep 2005Date of revision:
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Paper Matthew Higgins & Daniel Levy & Andrew Young, 2005.
"Growth and Convergence across the U.S: Evidence from County-Level Data ,"
Macroeconomics
0509023, EconWPA.
[Downloadable!] Matthew Higgins & Daniel Levy & Andrew Young, 2003.
"Growth and Convergence across the US: Evidence from County-Level Data ,"
Emory Economics
0306, Department of Economics, Emory University (Atlanta).
[Downloadable!] Matthew Higgins & Daniel Levy & Andrew Young, 2005.
"Growth and Convergence across the US: Evidence from County-Level Data ,"
Macroeconomics
0505009, EconWPA.
[Downloadable!] This paper has been announced in the following NEP Reports :
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references Cited by : (explanations , 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.)
Andrew Young & Matthew Higgins & Daniel Levy, 2004.
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