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 essentially uncorrelated with income levels.

We use US county level data (3,058 observations) from 1970 to 1998 to explore the relationship between economic growth and the extent of government employment at three levels: federal, state and local. We find that increases in federal, state and local government employments are all negatively...

The temporal interdependence between saving and output has been in focus in a number of recent empirical studies. Results from these studies have compelled some authors to question the traditional notion of a causal chain where saving leads growth through capital accumulation. This paper...

Cross-country studies have found a negative relationship between income inequality and economic growth. The main problem with the cross-country analyses is the poor quality of the data on income distribution. This paper tests the robustness of the cross-country results to the use of a more...

In this paper we propose the use of an alternative methodology to track low incomes based on Atkinson`s (1970) family of equally distributed equivalent income functions, which are called general means here. We provide a new characterization of general means that justifies their use in this...

This paper reviews four decades of economics research on the brain drain, with a focus on recent contributions and on development issues. We first assess the magnitude, intensity and determinants of the brain drain, showing that brain drain (or high-skill) migration is becoming the dominant...

This paper examines the relationship between antidumping filings and macroeconomic factors. We show that real exchange rate fluctuations affect the two criteria for dumping in opposite ways, making the overall effect on filings ambiguous in theory. Interestingly, no such ambiguity is evidenced...