Heterogeneous Convergence

Andrew Young; Matthew J Higgins; Daniel Levy

Heterogeneous Convergence

Andrew Young, Matthew J Higgins, Daniel Levy

Free Market Institute

Research output: Contribution to journal › Article

Abstract

We use U.S. county-level data containing 2,696 cross-sectional observations and 34 conditioning variables to study heterogeneity in convergence rates across 32 individual U.S. states. Using a 3SLS-IV estimation method, we find significant heterogeneity in the state-level convergence rates. Across the 32 states studied, the point estimates range from 3.8 percent (California) to 15.6 percent (Louisiana), with an average of 8.1 percent. We find that the convergence rates are negatively correlated with the initial income.

Original language	English
Journal	Economics Letters
State	Published - Aug 2013

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Young, A., Higgins, M. J., & Levy, D. (2013). Heterogeneous Convergence. Economics Letters.

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AU - Levy, Daniel

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AB - We use U.S. county-level data containing 2,696 cross-sectional observations and 34 conditioning variables to study heterogeneity in convergence rates across 32 individual U.S. states. Using a 3SLS-IV estimation method, we find significant heterogeneity in the state-level convergence rates. Across the 32 states studied, the point estimates range from 3.8 percent (California) to 15.6 percent (Louisiana), with an average of 8.1 percent. We find that the convergence rates are negatively correlated with the initial income.

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JF - Economics Letters

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