This paper estimates the quarterly flow of migrants to the US working age population using data based on the Current Population Survey (CPS). The dynamic responses to immigration shocks are estimated in a vector autoregression. Immigration shocks, as well as technology shocks are identified...

After a decade in which wages and employment fell precipitously in low-skill occupations and expanded in high-skill occupations, the shape of U.S. earnings and job growth sharply polarized in the 1990s. Employment shares and relative earnings rose in both low and high-skill jobs, leading to a...

We offer an integrated explanation and empirical analysis of the polarization of U.S. employment and wages between 1980 and 2005, and the concurrent growth of low skill service occupations. We attribute polarization to the interaction between consumer preferences, which favor variety over...

Standard macroeconomic models underpredict the volatility of unemployment fluctuations. A common solution is to assume wages are rigid. We explore whether this explanation is consistent with the data. We show that the wage of newly hired workers, unlike the aggregate wage, is volatile and...

Using detailed IRS administrative data on millions of households, we find that households effectively insure against much of the risk facing primary earners. We show that households face less risk than males alone, and households face roughly half the countercyclical risk increase. As a result...

This testimony makes three main points. First, income volatility, especially when it involves income declines, imposes significant hardships on American families. It heightens stress about finances and may increase household living expenses. These hardships are most pronounced for middle-and...

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...