Using machine learning (ML) models, we predict the population growth for the next two, five, and ten years for American and Chinese urban areas. To this end, we construct a rich city-level data set encompassing information on transportation, output, amenities, and human capital. The ML models...

This study investigates the capitalization of climate shocks in commercial real estate owned and operated by sophisticated investors. We focus on Hurricanes Harvey and Sandy to quantify the price impacts of climate shocks on commercial buildings in the U.S. We find clear evidence of a decline in...