Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Using earnings data from the U.S. Census Bureau, this paper analyzes the role of the employer in explaining the rise in earnings inequality in the United States. We first establish a consistent frame of analysis appropriate for administrative data used to study earnings inequality. We show that the trends in earnings inequality in the administrative data from the Longitudinal Employer-Household Dynamics Program are inconsistent with other data sources when we do not correct for the presence of misused SSNs. After this correction to the worker frame, we analyze how the earnings distribution has changed in the last decade. We present a decomposition of the year-to-year changes in the earnings distribution from 2004-2013. Even when simplifying these flows to movements between the bottom 20%, the middle 60%, and the top 20% of the earnings distribution, about 20.5 million workers undergo a transition each year. Another 19.9 million move between employment and non-employment. To understand the role of the firm in these transitions, we estimate a model for log earnings with additive fixed worker and firm effects using all jobs held by eligible workers from 2004-2013. We construct a composite log earnings firm component across all jobs for a worker in a given year and a non-firm component. We also construct a skill-type index. We show that, while the difference between working at a low- or middle-paying firm are relatively small, the gains from working at a top-paying firm are large. Specifically, the benefits of working for a high-paying firm are not only realized today, through higher earnings paid to the worker, but also persist through an increase in the probability of upward mobility. High-paying firms facilitate moving workers to the top of the earnings distribution and keeping them there.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

One strand of the literature in labor economics, household finance, and macroeconomics has studied whether individual earnings volatility has risen or fallen in the U.S. over the last several decades. There are disagreements in the empirical literature on this question, with some suggestions that the differences are the result of using flawed survey data instead of more accurate administrative data. This paper summarizes the results of a project to reconcile these findings with four different data sets and six different data series--three survey and three administrative data series, including two which match survey respondent data to their administrative data. Four of the six series show no significant trend in male earnings volatility over the last 20-to-30+ years when differences across the data sets are properly accounted for. A fifth shows a positive net trend but small in magnitude. A sixth shows no net trend 1998-2011 and only a small decline thereafter. The remaining differences across data series can be largely explained by differences in the left tail of their cross-sectional earnings distributions. We conclude that the data sets we have analyzed show little evidence of any significant trend in male earnings volatility since the mid-1980s.