Growth and Convergence across the US: Evidence from County-Level Data (revised version)

Author/s

Matthew J. Higgins, Daniel Levy, and Andrew T. Young

No.
2005-06
Date
PDF file

 

Matthew J. Higgins, Georgia Institute of Technology

Daniel Levy, Bar-Ilan University

Andrew T. Young, University of Mississippi

AbstractWe 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.

JEL Codes: O40, O11, O18, O51, R11, H50, H70

Keywords: Economic Growth, Conditional Convergence, and County-Level Data

 

 

Last Updated Date : 26/12/2012