We analyze changes in the gender structure at the top of the earnings distribution in the United States over the last 30 years using a 10% sample of individual earnings histories from the Social Security Administration. Despite making large inroads, females still constitute a small proportion of...

We analyze changes in the gender structure at the top of the earnings distribution in the United States over the last 30 years using a 10% sample of individual earnings histories from the Social Security Administration. Despite making large inroads, females still constitute a small proportion of...

How sensitive are the earnings of top earners to business cycles? And, how does the business cycle sensitivity of top earners vary by industry? We use a confidential dataset on earnings histories of US males from the Social Security Administration. On average, individuals in the top 1% of the...

Our investigation reveals four sets of results. First, we find substantial inequality in lifetime earnings, more than double what has been reported in earlier work that relied on much shorter panels and made parametric assumptions. The inequality in lifetime earnings above the median of the...

This paper studies the cyclical nature of individual income risk using a confidential dataset from the U.S. Social Security Administration, which contains (uncapped) earnings histories for millions of individuals. The base sample is a nationally representative panel containing 10 percent of all...

This paper sheds new light on individual labor income risk using a unique and confidential dataset from the Social Security Administration on individuals' earnings histories. The substantial sample size allows us to cut the data in different and novel ways and document how earnings risk varies...

We study business cycle variation in individual earnings risk using a confidential and very large data set from the US Social Security Administration. Contrary to past research, we find that the variance of idiosyncratic shocks is not countercyclical. Instead, it is the left-skewness of shocks...

This paper studies the nature of business cycle variation in individual earnings risk using a dataset from the U.S. Social Security Administration, which contains (uncapped) earnings histories for millions of anonymous individuals. The base sample is a nationally representative panel containing...

We study the evolution of individual labor earnings over the life cycle using a large panel data set of earnings histories drawn from U.S. administrative records. Using fully nonparametric methods, our analysis reaches two broad conclusions. First, earnings shocks display substantial deviations...

This paper studies how recessions affect individual income risk. We employ a unique and confidential administrative data set with tens of millions of observations on individual earnings histories from the Social Security Administration records. We use a dataset that is a 10% random sample of the...