Forecasts play a central role in decision making under uncertainty. After a brief review of the general issues, this paper considers ways of using high-dimensional data in forecasting. We consider selecting variables from a known active set, known knowns, using Lasso and OCMT, and approximating...

We use administrative tax data to analyze the cumulative, long-run effects of California's 2004 Paid Family Leave Act (CPFL) on women's employment, earnings, and childbearing. A regression-discontinuity design exploits the sharp increase in the weeks of paid leave available under the law. We...

Carbon risk, a type of climate risk, is expected to have a crucial impact, especially on high-carbon-emitting, "polluting" firms as opposed to less carbon-intensive, "clean" ones. With a rising number of actions and policies being continuously proposed to mitigate these concerns and an...