Estimating the Consequences of Climate Change from Variation in Weather

Working Paper: CEPR ID: DP16194

Authors: Derek Lemoine

Abstract: I formally relate the consequences of climate change to the panel variation in weather extensively explored by recent empirical literature. I show that short-run responses to weather shocks differ from long-run responses to climate change when payoffs depend on a capital or resource stock. I develop a new indirect least squares estimator that bounds long-run climate impacts from short-run responses to weather. Applying this new method, I find that an additional 2 degrees Celsius of global warming would eliminate profits from the average acre of current farmland in the eastern U.S.

Keywords: climate; weather; adaptation; forecasts; agriculture; indirect least squares

JEL Codes: C23; Q12; Q51; Q54


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Additional 2 degrees Celsius of global warming (F69)Eliminate profits from the average acre of current farmland in the eastern US (Q15)
Growing degree days (Q49)Profits from the average acre of current farmland in the eastern US (Q15)
Short-run responses to weather shocks (Q54)Long-run climate impacts (Q54)
Direct weather effects and adaptation channels (Q54)Estimation of climate impacts (Q54)
Indirect least squares estimator (C51)Bounding of climate impacts (Q54)
Adaptation channels (O36)Biases in estimation of climate impacts (Q54)

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