This paper studies the business-cycle variation in higher-order (labor) income risk—that is, risks that are captured by moments higher than the variance. We examine the extent to which such risks can be smoothed within households or with government social insurance and tax policies. We use...

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...

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 studies the business-cycle variation in higher-order (labor) income risk--that is, risks that are captured by moments higher than the variance. We examine the extent to which such risks can be smoothed within households or with government social insurance and tax policies. We use...

Recent empirical studies document that the distribution of earnings changes displays substantial deviations from lognormality: in particular, earnings changes are negatively skewed with extremely high kurtosis (long and thick tails), and these non-Gaussian features vary substantially both over...