We document a large decrease in earnings inequality in Brazil between 1996 and 2012. Using administrative linked employer-employee data, we fit high-dimensional worker and firm fixed effects models to understand the sources of this decrease. Firm effects account for 40 percent of the total decrease and worker effects for 29 percent. Changes in observable worker and firm characteristics contributed little to these trends. Instead, the decrease is primarily due to a compression of returns to these characteristics, particularly a declining firm productivity pay premium. Our results shed light on potential drivers of earnings inequality dynamics.

Increases in the minimum wage can substantially reduce earnings inequality. To demonstrate this, we combine administrative and survey data with an equilibrium model of the Brazilian labor market. We find that a 128 percent increase in the real minimum wage in Brazil between 1996 and 2018 had far-reaching spillover effects on wages higher up in the distribution. The increased minimum wage accounts for 45 percent of a large fall in earnings inequality over this period. At the same time, the effects of the minimum wage on employment and output are muted by reallocation of workers toward more productive firms.. (JEL D31, E23, E24, J31, J38, O15)

I develop an idea flows theory of firm and worker dynamics in order to assess the consequences of population aging. Older people are less likely to attempt entrepreneurship and switch employers because they have found better jobs. Consequently, aging reduces entry and worker mobility through a composition effect. In equilibrium, the lower entry rate implies fewer new, better job opportunities for workers, while the better matched labor market dissuades job creation and entry. Aging accounts for a large share of substantial declines in firm and worker dynamics since the 1980s, primarily due to equilibrium forces. Cross-state evidence supports these predictions.

We document a large decrease in earnings inequality in Brazil between 1996 and 2012. Using administrative linked employer-employee data, we fit high-dimensional worker and firm fixed-effects models to understand the sources of this decrease. Firm effects account for 40 percent of the total decrease and worker effects for 29 percent. Changes in observable worker and firm characteristics contributed little to these trends. Instead, the decrease is primarily due to a compression of returns to these characteristics, particularly a declining firm productivity-pay premium. Our results shed light on potential drivers of earnings inequality dynamics. (JEL D22, D63, J24, J31, L25, M52, O15)