Heterogeneous Convergence

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

EconStor Open Access Articles and Book Chapters, 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; 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
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Citations: View citations in EconPapers (12)

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https://www.econstor.eu/bitstream/10419/206832/1/E ... oming%20-%202013.pdf (application/pdf)

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:zbw:espost:206832

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