In this paper we outline (i) why sigma-convergence may not accompany beta-convergence, (ii) discuss evidence of beta-convergence … sigma-convergence cannot be detected at the county-level across the U.S., or within the large majority of the individual U …

We use U.S. county data (3,058 observations) and 41 conditioning variables to study growth and convergence. Using OLS … and 3SLS-IV we report on the full sample and metro, non-metro, and 5 regional samples: (1) OLS yields convergence rates … around 2 percent; 3SLS yields 6-8 percent; (2) convergence rates vary (e.g., the Southern rate is 2.5 times the Northeastern …

In this paper we outline (i) why sigma-convergence may not accompany beta-convergence, (ii) discuss evidence of beta-convergence … sigma-convergence has not occurred at the county-level across the U.S., or within the vast majority of the individual U …

income convergence. County-level data are particularly valuable for studying convergence because they allow us to study a … in the conditional convergence rates, we report the estimates for the entire data set as well as for subsets including … metro counties, non-metro counties, and five regional groupings. Our findings include: (i) while OLS yields convergence …

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 …

estimate heterogeneity in convergence rates across 22 individual U.S. states. Applying GMM estimation, we find significant … heterogeneity in the state-level convergence rates. For example, while the average convergence rate is 9.2 percent, the California … estimate is 19.9 percent and the New York estimate is 3.3 percent. The estimated convergence rates are essentially uncorrelated …