The current literature offers two views on the nature of the labor income process. According to the first view, individuals are subject to very persistent income shocks while facing similar life-cycle income profiles (the RIP process, Thomas MaCurdy 1982). According to the alternative, individuals are subject to shocks with modest persistence while facing individual-specific profiles (the HIP process, Lee A. Lillard and Yoram A. Weiss 1979). In this paper we study the restrictions imposed by these two processes on consumption data—in the context of a life-cycle model—to distinguish between the two views. We find that the life-cycle model with a HIP process, which has not been studied in the previous literature, is consistent with several features of consumption data, whereas the model with a RIP process is consistent with some, but not with others. We conclude that the HIP model could be a credible contender to—and along some dimensions, a more coherent alternative than—the RIP model.

How sensitive to business cycles are the earnings of top earners? 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 percent of the earnings distribution are slightly more cyclical than the population average. But there are large differences across sectors; top earners in Finance, Insurance, and Real Estate (FIRE) and Construction face substantial business cycle volatility, whereas those in Services (who make up 40 percent of individuals in the top 1 percent) have earnings that are less cyclical than the average worker.

The magnitude of and heterogeneity in systematic earnings risk has important implications for various theories in macro, labor, and financial economics. Using administrative data, we document how the aggregate risk exposure of individual earnings to GDP and stock returns varies across gender, age, the worker's earnings level, and industry. Aggregate risk exposure is U-shaped with respect to the earnings level. In the middle of the earnings distribution, aggregate risk exposure is higher for males, younger workers, and construction and durable manufacturing. At the top of the earnings distribution, aggregate risk exposure is higher for older workers and finance.

We show how offshore profit shifting by US multinational enterprises affects several key measures of the US economy. Profits shifted out of the United States grew rapidly from the mid-1990s to 2010 and have since waned. From 1982–2016, on average, 38 percent of income attributed to US direct investment abroad is reattributable to the United States. We find that adjusting for profit shifting shrinks the trade deficit, decreases the return on US foreign direct investment abroad, boosts productivity growth rates in the late 1990s and early 2000s, and lowers labor’s share of income.

Drawing on administrative data from the Social Security Administration, we find that individuals that go through a long period of non-employment suffer large and long-term earnings losses (around 35-40 percent) compared to individuals with similar age and previous earnings histories. Importantly, these differences depend on past earnings, and are largest at the bottom and top of the earnings distribution. Focusing on workers that are employed 10 years after a period of long-term non-employment, we find much smaller earnings losses (8-10 percent). Furthermore, the large earnings losses of low-income individuals are almost entirely due to employment effects.