This paper develops climate-response functions for sensitive market sectors
in the United States' economy using two empirical methods. The experimenta
l approach constructs a process-based impact model from the results of cont
rolled experiments. Reduced-form equations can be estimated from the model
responses to multiple climate scenarios. The cross-sectional approach estim
ates response functions directly from empirical evidence in the field. Both
methods indicate that agriculture, forestry, and energy have a hill-shaped
relationship to temperature. Precipitation, sea-level rise, and carbon dio
xide are also important.