Via Greg Mankiw: "Economists Joe Stiglitz, Nicholas Stern, and Martin Weitzman [PDF] have new pieces on global warming. The most interesting (as well as the most technically demanding) is the one by Weitzman. His conclusion: 'The Stern Review may well be right for the wrong reasons.'" I agree. In particular, I agree with Weitzman's conclusions. Here's a condensation:
… If the conclusion from the last section — that what to do about global warming depends greatly on the imposed interest rate — is seen as disappointing, then a second conclusion is likely to seem downright unnerving. …[E]ven if we had an infinite time series of past observations, they are of limited relevance in an evolving world where the environment is changing and the past never fully repeats itself. With this interpretation of the puzzles, people are willing to pay a lot for relatively safe stores of value that might represent a bit of insurance against out-of-sample or newly-evolved rare disasters.There is little doubt that the worst-case scenarios of global warming are genuinely frightening. The Stern Review goes over several of these unlikely disasters associated with abrupt large-scale irreversible changes in the climate system: sudden collapse of the Greenland and West Antarctica ice sheets, weakening or even reversal of thermohaline circulations like the Gulf Stream, runaway amplification of global warming due to the many potential reinforcing feedbacks…. More gradual but still very serious are elevated sea levels, drowned coastlines, extreme weather patterns, flood risks, catastrophic tropical-crop failures, new humidity-nourished contagious diseases — and the list goes on and on.
Translated into the language of the simple model used here, such rare disasters are far out in the left tail of possible low, or even negative, or even possibly very negative values of …. The net result is thicker left tails for growth rates under dynamically-evolving global climate change than we are accustomed to dealing with in our much-more-familiar dynamic-stochastic-general-equilibrium macro models, which in practice are based upon the stationary thin-tailed stochastic processes that we use to model a rational expectations equilibrium whose structure is fully known. …
… [I]n lumping together objective and subjective uncertainties and thereby obscuring their distinction — to the extent that a graduate student today hardly knows, or even cares, what kinds of probabilities are legitimate to plug into a rational expectations equilibrium and what kinds of probabilities are illegitimate for this purpose — I think that contemporary economic practise goes too far and leads to a mindset that all-too-easily identifies subjective probabilities with sample frequencies from past data. …
… The upshot of this uncertainty about uncertainties is that [we are dealing with thick left tails] whose exact thickness depends not only on how bad a catastrophe global warming might induce and with what probability, but also on how imprecise are our probability estimates of the probabilities of those bad catastrophes. …
… [T]o ignore or suppress the significance of rare tail disasters in an application of expected utility theory like cost-benefit analysis of climate change, where there is so obviously limited data and limited information about extremes, is to ignore or suppress what theory is telling us is potentially the most important part of the analysis. … The take-away message here is that the burden of proof in the economics of climate change is upon whomever wants to model optimal-expected-utility growth under endogenous greenhouse warming without uncertainty tending to matter more than risk. Such a center-or-the-distribution modeler needs to explain why the necessarily-thickened tail representing rare disasters under uncertain structure does not play a critical role in the analysis. …
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