Heterogeneity in Convergence Rates and Income Determination across U.S. States: Evidence from County-Level Data
Abstract
We utilize county-level data to explore growth determination in the U.S. and possible heterogeneity in growth determination across individual states. The data includes over 3,000 cross-sectional observations and 39 demographic control variables. We use a consistent two stage least squares estimation procedure. (We report OLS estimates as well.) The estimated convergence rate across the U.S. is about 7 percent per year – higher than the 2 percent normally found with OLS in cross-country, U.S. state, and European region samples. Estimated convergence rates for 32 individual states are above 2 percent with an average of 8.1 percent. For 29 states the convergence rate is above 2 percent with 95 percent confidence. For seven states the convergence rate can be rejected as identical to at least one other state’s convergence rate with 95 percent confidence. In examining the determinants of balanced growth path heights, we find that government at all levels of decentralization is negatively correlated with economic growth. Educational attainment of a population has a non-linear relationship with economic growth according to our estimates: growth is positively related to high-school degree attainment, seemingly unrelated to obtaining some college education, and then positively related to four-year degree or more attainment. Also, finance, insurance and real estate industry and entertainment industry are positively correlated with growth, while education industry is negatively correlated with growth. Heterogeneity in the effects of balanced growth path determinants across individual states is much harder to detect (or dismiss) than in convergence rates.Download Info
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Paper provided by EconWPA in its series Development and Comp Systems with number 0402003.Length: 54 pages
Date of creation: 05 Feb 2004
Date of revision:
Handle: RePEc:wpa:wuwpdc:0402003
Note: Type of Document - pdf; prepared on Win 98; to print on Any printer; pages: 54 ; figures: Figures are included
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Related research
Keywords: Convergence; Heterogeneity; Neoclassical Growth Model; 2SLS; Consistent Estimate; Income Determination; Variation in Convergence Rate; County Data; Balanced Growth Path; Government and Economic Growth; Education and Economic Growth;Other versions of this item:
- Andrew T. Young & Matthew J. Higgins & Daniel Levy, 2004. "Heterogeneity in Convergence Rates and Income Determination across U.S. States: Evidence from County-Level Data," Working Papers 2004-1, Department of Economics, Bar-Ilan University.
- Matthew Higgins & Daniel Levy & Andrew Young, 2004. "Heterogeneity in Convergence Rates and Income Determination across U.S. States: Evidence from County-Level Data," Emory Economics 0401, Department of Economics, Emory University (Atlanta).
- E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy
- H50 - Public Economics - - National Government Expenditures and Related Policies - - - General
- H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
- H72 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Budget and Expenditures
- I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
- L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
- L70 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - General
- L80 - Industrial Organization - - Industry Studies: Services - - - General
- O11 - Economic Development, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
- O18 - Economic Development, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
- O40 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
- O51 - Economic Development, Technological Change, and Growth - - Economywide Country Studies - - - U.S.; Canada
- R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
- R50 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2004-02-08 (All new papers)
- NEP-DEV-2004-02-08 (Development)
- NEP-EDU-2004-02-08 (Education)
- NEP-GEO-2004-02-08 (Economic Geography)
- NEP-PBE-2004-02-08 (Public Economics)
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Young, Andrew & Higgins, Matthew & Levy, Daniel, 2007.
"Sigma Convergence versus Beta Convergence: Evidence from U.S. County-Level Data,"
MPRA Paper
2714, University Library of Munich, Germany.
- Andrew T. Young & Matthew J. Higgins & Daniel Levy, 2008. "Sigma Convergence versus Beta Convergence: Evidence from U.S. County-Level Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(5), pages 1083-1093, 08.
- Andrew T. Young & Matthew J. Higgins & Daniel Levy, 2003. "Sigma Convergence Versus Beta Convergence: Evidence from U.S. County-Level Data," Working Papers 2003-06, Department of Economics, Bar-Ilan University.
- Andrew Young & Matthew Higgins & Daniel Levy, 2005. "Sigma-Convergence Versus Beta-Convergence: Evidence from U.S. County-Level Data," Macroeconomics 0505008, EconWPA.
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