Most of the rise in overall earnings inequality is accounted for by rising between-industry dispersion from about ten percent of 4-digit NAICS industries. These thirty industries are in the tails of the earnings distribution, and are clustered especially in high-paying high-tech and low-paying...

We develop a dynamic, stochastic multi-sectoral, equilibrium model that allows for worker turnover, job turnover and career mobility. This serves to bridge the reallocation and job career literatures. Our model makes a number of predictions: a positive correlation between job turnover rates and...

Wage inequality in the United States has risen dramatically over the past several decades, prompting scholars to develop a number of theoretical accounts for the upward trend. This study takes an organizational approach to examine how changes in the firm-size wage effect (FSWE) — a phenomenon...

We study the determinants of lifetime earnings (LE) inequality in the United States, for which differences in lifetime earnings growth are key. Using administrative data and focusing on the roles of job ladder dynamics and on-the-job learning, we document that 1) lower LE workers change jobs...

This paper analyses the statistical distribution of war size. We find strong support for a Pareto-type distribution (power law) using data from different sources (COW and UCDP) and periods. A power law describesaccurately the size distribution of all wars, but also the distribution of the sample...

Most of the rise in overall earnings inequality is accounted for by rising between-industry dispersion from about ten percent of 4-digit NAICS industries. These thirty industries are in the tails of the earnings distribution, and are clustered especially in high-paying high-tech and low-paying...