Heterogeneous convergence

Andrew Young (), Matthew Higgins and Daniel Levy ()

Economics Letters, 2013, vol. 120, issue 2, 238-241

Abstract: We use US county-level data to estimate convergence rates for 22 individual states. We find significant heterogeneity. E.g., the California estimate is 19.9% and the New York estimate is 3.3%. Convergence rates are essentially uncorrelated with income levels.

Keywords: Economic growth; Conditional convergence; Heterogeneity; US 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
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Citations: View citations in EconPapers (12)

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Related works:
Journal Article: Heterogeneous Convergence (2013)
Working Paper: 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:eee:ecolet:v:120:y:2013:i:2:p:238-241

DOI: 10.1016/j.econlet.2013.04.017

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