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 offer the first direct evidence of an implicit contract in a goods market. The evidence comes from the market for Coca-Cola. Since implicit contracts are unobservable, we adopt a narrative approach to demonstrate that the Coca-Cola Company left a written evidence of the implicit contract with...

We offer the first direct evidence of an implicit contract in a goods market. The evidence comes from the market for Coca-Cola. We demonstrate that the Coca-Cola Company left written evidence of its implicit contract with its consumers - a very explicit form of an implicit contract. The contract...

We use U.S. county-level data consisting of 3,058 observations, to study growth determination and measure the speed of income convergence. County-level data are particularly valuable for studying convergence because they allow us to study a sample with substantial homogeneity and exceptional...

The relative stability of aggregate labor share constitutes one of the great macroeconomic ratios. However, relative stability at the aggregate level masks the unbalanced nature of sectoral labor shares. We present a two-sector (manufacturing and services) model with induced innovation that can...

Krueger (1999) provides a measure of ‘raw’ labour's share for the US post-war economy based on Mincerian regressions. He finds that raw labour's share fell by over 8 percentage points from 1959 to 1996. We provide an alternative estimate using direct observations on the wage rates of raw...

We offer the first direct evidence of an implicit contract in a goods market. The evidence comes from the market for Coca-Cola. We demonstrate that the Coca-Cola Company left a written evidence of its implicit contract with its consumers—a very explicit form of an implicit contract. The...

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.