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Growth and Convergence Across the US: Evidence from County-Level Data


Matthew John Higgins


Georgia Institute of Technology

Daniel Levy


Bar-Ilan University - Department of Economics; Emory University - Department of Economics; Rimini Center for Economic Analysis

Andrew Young


Emory University - Department of Economics


Review of Economics and Statistics, 2006

Abstract:     
We use U.S. county-level data consisting of 3,058 observations, to study growth determination and measure the speed of income convergence. County-level data are particularly valuable for studying convergence because they allow us to study a sample with substantial homogeneity and exceptional mobility of capital, labor and technology without sacrificing the benefits of a large number of cross-sectional units. Our data set allows us to include nearly 40 different conditioning variables to study their effect on the counties' balanced growth paths. We report estimates using a 2SLS instrumental variables method which yields consistent estimates, as well as estimates from standard OLS. In order to explore possible heterogeneity in the conditional convergence rates, we report the estimates for the entire data set as well as for subsets including metro counties, non-metro counties, and five regional groupings. Our findings include: (i) while OLS yields convergence rates around 2 percent, the 2SLS method yields rates between 6 and 8 percent; (ii) the estimated convergence rates are not constant across the U.S., for example, the counties in the Southern states converge at a rate that is more than two and half times faster than the counties located in the New England states; (iii) the extent of the public sector at all levels (federal, state and local) negatively affects growth and there is no evidence of the public sector becoming more productive at more decentralized levels; (iv) the relationship between a population's educational attainment and economic growth is nonlinear depending on the years of education considered; and (v) large presences of both finance, insurance and real estate industry and entertainment industry are positively correlated with growth while the percent of a county's population employed in the education industry is negatively correlated with economic growth.

Number of Pages in PDF File: 54

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

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

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Date posted: April 24, 2003  

Suggested Citation

Higgins, Matthew John, Levy, Daniel and Young, Andrew T., Growth and Convergence Across the US: Evidence from County-Level Data. Review of Economics and Statistics, 2006. Available at SSRN: http://ssrn.com/abstract=389680 or http://dx.doi.org/10.2139/ssrn.389680

Contact Information

Matthew John Higgins
Georgia Institute of Technology ( email )
Scheller College of Business
800 West Peachtree Street
Atlanta, GA 30308
United States
404-894-4368 (Phone)
404-894-6030 (Fax)
Daniel Levy (Contact Author)
Bar-Ilan University - Department of Economics ( email )
Ramat-Gan, 52900
Israel
+972 3 531 8345 (Phone)
+972 3 738-4034 (Fax)
HOME PAGE: http://faculty.biu.ac.il/~levyda/profile.htm

Emory University - Department of Economics
1602 Fishburne Drive
Atlanta, GA 30322
United States
HOME PAGE: http://economics.emory.edu/people/faculty/levy.html
Rimini Center for Economic Analysis ( email )
Via Patara, 3
Rimini (RN), RN 47900
Italy
HOME PAGE: http://www.rcfea.org/
Andrew T. Young
Emory University - Department of Economics ( email )
1602 Fishburne Drive
Atlanta, GA 30322
United States
404-727-1022 (Phone)
Feedback to SSRN (Beta)


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