I review evidence of rising policy uncertainty in the U.S. and global economies, drawing heavily on newspaper-based measures. Examples from countries around the world illustrate the role of political and policy developments as drivers of fluctuations in economic uncertainty. I also highlight the prominent role of trade policy as a source of uncertainty and stock market volatility since March 2018, when U.S.-China tensions began to escalate. Lastly, I offer remarks on the interplay between policy uncertainty and economic performance.

We conduct a comparative welfare analysis of 133 historical policy changes over the past half-century in the United States, focusing on policies in social insurance, education and job training, taxes and cash transfers, and in-kind transfers. For each policy, we use existing causal estimates to calculate both the benefit that each policy provides its recipients (measured as their willingness to pay) and the policy’s net cost, inclusive of long-term impacts on the government's budget.

Comparing levels of discrimination across countries can provide a window into large-scale social and political factors often described as the root of discrimination. Because of difficulties in measurement, however, little is established about variation in hiring discrimination across countries. We address this gap through a formal meta-analysis of 97 field experiments of discrimination incorporating more than 200,000 job applications in nine countries in Europe and North America.

Mechanisms explaining the negative effects of parental divorce on children’s attainment have long been conjectured and assessed. Yet few studies of parental divorce have carefully attended to the assumptions and methods necessary to estimate causal mediation effects. Applying a causal framework to linked U.S. panel data, we assess the degree to which parental divorce limits children’s education among whites and nonwhites and whether observed lower levels of educational attainment are explained by postdivorce family conditions and children’s skills.

We study how reported sexism in the population affects American women. Fixed-effects and TSLS estimates show that higher prevailing sexism where she was born (background sexism) and where she currently lives (residential sexism) both lower a woman's wages, labor force participation and ages of marriage and childbearing.