US regional income growth patterns in the US from 1929 to 1994 show strong global and local spatial autocorrelation. The magnitude of global spatial autocorrelation is closely linked to regional income dispersion. Ignoring spatial error dependence in the analysis can lead to misspecification, as shocks in one state can affect neighboring states, complicating the convergence process.