We use U.S. county-level data containing 3,058 cross-sectional observations and 41 conditioning variables to study economic growth and explore possible heterogeneity in growth determination across 32 individual states. Using a 3SLS-IV estimation method, we find that all statistically significant...

We use annual data on capital´s share and relative factor prices from 35 US industriesfrom 1960 to 2005 to test the induced innovation hypothesis. We derive, from a productionfunction framework, testable implications for the effect of contemporaneous and lagged factorprice ratios on capital´s...

Higgins <italic>et al</italic>. (2006), report several statistically significant partial correlates with US per capita income growth. However, Levine and Renelt (1992) demonstrate that such correlations are hardly ever robust to changing the combination of conditioning variables included. We ask, whether the...

We use US county-level data to estimate convergence rates for 22 individual states. We find significant heterogeneity. E.g., the California estimate is 19.9% and the New York estimate is 3.3%. 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. 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 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 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 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.