Per capita incomes across European regions are not equal and do not stay constant; regional income distributions uctuate over time. Such a process could have many possible limiting outcomes: complete equal- ity (convergence), stratication, and continually increasing inequality are but three...

This paper reviews the cross-country record of economic growth, using as organizing framework how economic theory has guided that empirical analysis. The paper argues that recent studies of economic growth—both empirical and theoretical—distinguish from previous work in three distinct...

There is a growing literature on unit root testing in threshold autoregressive models. This paper makes two contributions to the literature. First, an asymptotic theory is developed for unit root testing in a threshold autoregression, in which the errors are allowed to be dependent and...

This paper uses a model of growth and imperfect capital mobility across multiple economies to characterize the dynamics of (cross-country) in- come distributions. This allows convenient study of the convergence hypothesis, and reveals, where appropriate, polarization and clumping within...

This paper investigates the efficiency wage hypothesis and derives a tractable expression for the profit loss incurred by deviations from the efficiency wage. The extent of the wage deviation can be inferred from production function parameters. The resulting profit loss shown to depend upon the...

Disadvantaged groups tend also to constitute population minorities. One consequence of this is that the policies implemented by electorally accountable governments often fail to reflect minority interests. A policy solution is to enhance the political power of minority groups as a vehicle for...

Convergence concerns the poor catching up with the rich|if not instan- taneously, then at least having a tendency to do so. When poor and rich here refer to entire economies, then whether convergence occurs is traditionally viewed as just a side consequence of a more central ques- tion, namely...

Nonparametric regression is developed for data with both a temporal and a cross-sectional dimension. The model includes additive, unknown, individual-specific components and allows also for cross-sectional and temporal dependence and conditional heteroscedasticity. A simple nonparametric...