We develop novel forecasting methods for panel data with heterogeneous parameters and examine them together with existing approaches. We conduct a systematic comparison of their predictive accuracy in settings with different cross-sectional (N) and time (T) dimensions and varying degrees of...

Immigration policy can have important net fiscal effects that vary by immigrants’ skill level. But mainstream methods to estimate these effects are problematic. Methods based on cash-flow accounting offer precision at the cost of bias; methods based on general equilibrium modeling address bias...

The U.S. limits work visas for low-skill jobs outside of agriculture, with a binding quota that firms access via a randomized lottery. We evaluate the marginal impact of the quota on firms entering the 2021 H-2B visa lottery using a novel survey and pre-analysis plan. Firms exogenously...

Present value calculations require predictions of cash flows both at near and distant future points in time. Such predictions are generally surrounded by considerable uncertainty and may critically depend on assumptions about parameter values as well as the form and stability of the data...