framework to product-by-store level scanner data on air purifier sales in China, we provide among the first revealed preference …

This paper employs a stochastic frontier approach to examine how climate change and extreme weather affect U ….S. agricultural productivity using 1940-1970 historical weather data (mean and variation) as the norm. We have four major findings …. Fourth, we project potential impacts of climate change and extreme weather on U.S. regional productivity based on the …

. Using within-county variation in weather, we estimate the effect of daily temperature on annual income in United States …

I formally relate the consequences of climate change to the time series variation in weather extensively explored by … reduced-form weather regressions in more general environments. Applying this new method, I find that an additional 2°C of …

future weather outcomes. We compare these market expectations to climate model output for the years 2002 to 2018 as well as … observed weather station data across eight cities in the US. All datasets show statistically significant and comparable warming … trends. Nonparametric estimates suggest that trends in weather markets follow climate model predictions and are not based on …

historic data on weather, climate, economic activity and other variables. This has been an active area of research for several … long-run) estimated, the type of weather or climate variation used, and the pros and cons of the approach …

We investigate the long-run effects of cooling on conflict. We construct a geo-referenced and digitized database of … that cooling is associated with increased conflict. When we allow the effects of cooling over a fifty-year period to depend … on the extent of cooling during the preceding period, the effect of cooling on conflict is larger in locations that …