Growth and Convergence across the U.S: Evidence from County-Level Data

Matthew Higgins, Daniel Levy () and Andrew Young ()

Macroeconomics from University Library of Munich, Germany

Abstract: 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.

Keywords: Economic Growth; Conditional Convergence; County-Level Data (search for similar items in EconPapers)
JEL-codes: H50 H70 O11 O18 O40 O51 R11 (search for similar items in EconPapers)
Pages: 54 pages
Date: 2005-09-22
New Economics Papers: this item is included in nep-edu, nep-geo, nep-pbe and nep-ure
Note: Type of Document - pdf; pages: 54
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (32)

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Related works:
Working Paper: Growth and Convergence across the US: Evidence from County-Level Data (2005)
Working Paper: Growth and Convergence across the US: Evidence from County-Level Data (2005)
Working Paper: Growth and Convergence across the US: Evidence from County-Level Data (2003)
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Persistent link: https://EconPapers.repec.org/RePEc:wpa:wuwpma:0509023

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