Uncertain Outcomes and Climate Change Policy

Working Paper: NBER ID: w15259

Authors: Robert S. Pindyck

Abstract: Focusing on tail effects, I incorporate distributions for temperature change and its economic impact in an analysis of climate change policy. I estimate the fraction of consumption w*(tau) that society would be willing to sacrifice to ensure that any increase in temperature at a future point is limited to tau. Using information on the distributions for temperature change and economic impact from studies assembled by the IPCC and from "integrated assessment models" (IAMs), I fit displaced gamma distributions for these variables. Unlike existing IAMs, I model economic impact as a relationship between temperature change and the growth rate of GDP as opposed to its level, so that warming has a permanent impact on future GDP. The fitted distributions for temperature change and economic impact generally yield values of w*(tau) below 2%, even for small values of tau, unless one assumes extreme parameter values and/or substantial shifts in the temperature distribution. These results are consistent with moderate abatement policies.

Keywords: Climate Change; Economic Impact; Willingness to Pay

JEL Codes: D81; 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
increase in temperature (Q54)decrease in GDP growth rate (E20)
temperature change (O30)willingness to pay (WTP) (Q26)
GDP growth rate (O49)willingness to pay (WTP) (Q26)
risk aversion (D81)willingness to pay (WTP) (Q26)
growth rate (O40)willingness to pay (WTP) (Q26)
temperature changes (Q54)economic impacts (F69)

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