-IV estimation method, we find that all statistically significant convergence rates (for 32 individual states) are above 2 percent …, with an average of 8.1 percent. For 7 states the convergence rate can be rejected as identical to at least one other state …’s convergence rate with 95 percent confidence. Convergence rates are negatively correlated with initial income. The size of …

We use U.S. county-level data to estimate convergence rates for 22 individual states. We find significant heterogeneity …. E.g., the California estimate is 19.9 percent and the New York estimate is 3.3 percent. Convergence rates are …

Long-run income convergence is investigated in the US context. We employ a novel pair-wise econometric procedure based … on a probabilistic definition of convergence. The time-series properties of all the possible regional income pairs are … distinguish between the cases of strong convergence, where the implied cointegrating vector is [1,-1], and weak convergence, where …

focusses on the long memory parameter d that allows us to obtain different convergence classifications depending on its value … is that we find long memory mean reverting convergence, something that is also consistent with Pesaran et al (2009). In … explaining the speed of convergence as captured by the estimated long memory parameter d we find impediments to trade such as …

In this paper we examine long-run house price convergence across US states using a novel econometric approach advocated … convergence based on the percentage of unit root rejections among all state house price differentials. Using a sieve bootstrap … procedure, we construct confidence intervals and find evidence in favour of convergence. We also conclude that speed of …