Heterogeneous convergence

Andrew Young, Matthew Higgins and Daniel Levy ()
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Andrew Young: TTU - Texas Tech University [Lubbock]

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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)
Date: 2013-08
Note: View the original document on HAL open archive server: https://hal.science/hal-02387738
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Citations: View citations in EconPapers (5)

Published in Economics Letters, 2013, 120 (2), pp.238-241. ⟨10.1016/j.econlet.2013.04.017⟩

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Related works:
Journal Article: Heterogeneous convergence (2013)
Journal Article: Heterogeneous Convergence (2013)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02387738

DOI: 10.1016/j.econlet.2013.04.017

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