A growing literature uses random assignment of cases to judges to examine criminal sentencing. To extend this line of work, we directly examine how judicial “harshness” varies with the seriousness of criminal conviction. Using a model that respects the mix of cases and the noise produced by small caseloads, we find that case severity is best viewed as an endogenous outcome of bargaining. We also find that harsher judges have a higher share of cases failing to reach a plea bargain, but perhaps surprisingly, there is little evidence that large jumps in expected incarceration lead to differential plea bargain outcomes.

Using detailed administrative records, we find that, on average, women receive lighter sentences in comparison with men along both extensive and intensive margins. Using parametric and semiparametric decomposition methods, roughly 30% of the gender differences in incarceration cannot be explained by the observed criminal characteristics of offense and offender. We also find evidence of considerable heterogeneity across judges in their treatment of female and male offenders. There is little evidence, however, that tastes for gender discrimination are driving the mean gender disparity or the variance in treatment between judges.

This paper presents new evidence on the effects of immigration based on changes in the distributions of wages in 24 major [U.S.] cities during the 1980s....We...concentrate on measuring the effects of immigration at the lower tail of the wage distribution. In particular we ask whether recent declines in the real earnings of the least-skilled workers in the U.S. economy are related to immigration. Our empirical analysis reveals large differences across cities in the relative growth rates of wages for low- and high-paid workers. Nevertheless these differences bear little or no relation to the size of immigrant inflows. (EXCERPT)

We examine how participation in social safety net programs differs by income-to-poverty levels, and how that relationship changed after the Great Recession. We define income-to-poverty based on the average of 2 years of merged CPS data, and investigate program participation among households with income less than 300 percent of poverty. We find changes in both the level and distribution of safety-net program participation during the Great Recession, with SNAP expanding most at the bottom, the EITC expanding most in the middle, and UI expanding most at the top of the income ranges that we investigate; TANF did not expand.