We apply deep learning to daytime satellite imagery to predict changes in income and population at high spatial resolution in US data. For grid cells with lateral dimensions of 1.2km and 2.4km (where the average US county has dimension of 55.6km), our model predictions achieve R2 values of 0.85...

This working paper presents Chapter 7 of a book to be published for the National Bureau of Economic Research by the University of Chicago Press. The point of the book is to compare taxes on income from capital in four countries,accounting for corporate, personal, and property taxes, and...

This working paper presents Chapter 2 of a book that has been submitted to the University of Chicago Press for publication consideration. The point of the book is to compare taxes on income from capital infour countries,accounting for corporate, personal, and property taxes, and including...

We use census data for the US, Canada, Spain, and UK to estimate bilateral migration rates to these countries from 25 Latin American and Caribbean nations over the period 1980 to 2005. Latin American migration to the US is responsive to labor supply shocks, as predicted by earlier changes in...

Forecasts of the rate of price inflation play a central role in the formulation of monetary policy, and forecasting inflation is a key job for economists at the Federal Reserve Board. This paper examines whether this job has become harder and, to the extent that it has, what changes in the...