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Heterogeneous ConvergenceAndrew T. YoungWest Virginia University - Division of Economics and Finance Matthew John HigginsGeorgia Institute of Technology Daniel LevyBar-Ilan University - Department of Economics; Emory University - Department of Economics; Rimini Center for Economic Analysis March 1, 2013 Emory Law and Economics Research Paper No. 07-2 Abstract: We use U.S. county-level data containing 1,921 cross-sectional observations and up to 29 conditioning variables to estimate heterogeneity in convergence rates across 22 individual U.S. states. Applying GMM estimation, we find significant heterogeneity in the state-level convergence rates. For example, while the average convergence rate is 9.2 percent, the California estimate is 19.9 percent and the New York estimate is 3.3 percent. The estimated convergence rates are essentially uncorrelated with the income levels.
Number of Pages in PDF File: 8 Keywords: Economic Growth, Conditional Convergence, County Level Data, Heterogeneity JEL Classification: O40, O11, O18, O51, R11, H50, H70 working papers seriesDate posted: November 29, 2006 ; Last revised: April 11, 2013Suggested CitationContact Information
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