We examine whether nonlinear relationships between climatic conditions and crop yields are globally generalizable at subnational levels. We match subnational longitudinal administrative data on crop yields for barley, maize, oats, rice, soybeans, and wheat with growing season temperature and...

Extreme heat is the single best predictor of corn and soybean yields in the United States. While average yields have risen continuously since World War II, we find no evidence that relative tolerance to extreme heat has improved between 1950 and 2005. Climate change forecasts project a sharp...

"Extreme heat is the single best predictor of corn and soybean yields in the United States. While average yields have risen continuously since World War II, we find no evidence that relative tolerance to extreme heat has improved between 1950 and 2005. Climate change forecasts project a sharp...