Abstract
Weitzman’s “dismal theorem” has that the expected net present value of a stock problem with a stochastic growth rate with unknown variance is unbounded. Cost-benefit analysis can therefore not be applied to greenhouse gas emission control. We use the generalized central limit theorem to show that the dismal theorem can be tested, in a finite sample, by estimating the tail index. We apply this test to social cost of carbon estimates from three commonly used integrated assessment models and to previously published estimates. Two of the three models do not support the dismal theorem, but the third one does for low discount rates and most estimators. The meta-analysis does offer qualified support for the dismal theorem.
| Original language | English |
|---|---|
| Pages (from-to) | 885-920 |
| Number of pages | 36 |
| Journal | Journal of the Association of Environmental and Resource Economists |
| Volume | 9 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - Sept 2022 |
Bibliographical note
Publisher Copyright:© 2022 The Association of Environmental and Resource Economists. All rights reserved.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 13 Climate Action
Keywords
- climate policy
- dismal theorem
- fat tails
- social cost of carbon
Fingerprint
Dive into the research topics of 'Testing the Dismal Theorem'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver