Understanding the Improbable: A Survey of Fat Tails in Environmental Economics

Marc N. Conte () and David Kelly
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Marc N. Conte: Department of Economics, Fordham University, Bronx, New York 10458, USA

Annual Review of Resource Economics, 2021, vol. 13, issue 1, 289-310

Abstract: We survey the growing literature on fat-tailed distributions in environmental economics. We then examine the theoretical and statistical properties of such distributions, focusing especially on when these properties are likely to arise in environmental problems. We find that a number of variables are fat tailed in environmental economics, including the climate sensitivity, natural disaster impacts, spread of infectious diseases, and stated willingness to pay. We argue that different fat-tailed distributions arise from common pathways. Finally, we review the literature on the policy implications of fat-tailed distributions and controversies over their interpretation. We conclude that the literature has made great strides in demonstrating when fat tails matter for optimal environmental policy. Yet, much is less well understood, including how alternative policies affect fat-tailed distributions, the optimal policy in a computational economy with many fat-tailed problems, and how to account for imprecision in empirical tests for fat tails.

Keywords: fat tails; climate sensitivity; natural disasters; environmental economics; infectious disease; dismal theorem; existence value (search for similar items in EconPapers)
JEL-codes: I18 Q51 Q54 Q58 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (2)

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DOI: 10.1146/annurev-resource-102020-094143

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