Heterogeneous Convergence
Andrew Young (),
Matthew Higgins and
Daniel Levy ()
Working Paper series from Rimini Centre for Economic Analysis
Abstract:
We use U.S. county-level data to estimate convergence rates for 22 individual states. We find significant heterogeneity. E.g., the California estimate is 19.9 percent and the New York estimate is 3.3 percent. Convergence rates are essentially uncorrelated with income levels.
Keywords: Economic Growth; Conditional Convergence; Heterogeneity; U.S. County Level Data (search for similar items in EconPapers)
JEL-codes: H50 H70 O11 O18 O40 O51 R11 (search for similar items in EconPapers)
Date: 2013-04
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)
Published in Economics Letters, 120(2):238-241, 2013
Downloads: (external link)
http://www.rcea.org/RePEc/pdf/wp19_13.pdf (application/pdf)
Related works:
Journal Article: Heterogeneous convergence (2013) 
Journal Article: Heterogeneous Convergence (2013) 
Working Paper: Heterogeneous Convergence (2013) 
Working Paper: Heterogeneous convergence (2013) 
Working Paper: Heterogeneous Convergence (2011) 
Working Paper: Heterogeneous Convergence (2006) 
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Persistent link: https://EconPapers.repec.org/RePEc:rim:rimwps:19_13
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