A Survey of Global Impacts of Climate Change: Replication, Survey Methods, and a Statistical Analysis
By William Nordhaus, Andrew Moffat. 2017
121 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/07e75411e351b51b68f37bcbe8609d8cb6bc1e03
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Daniel J. A. Johansson
- Richard S. J. Tol
- T. Sterner
- F. Venmans
- Simon Dietz
- B. Groom
- Christian Azar
- Mark C. Freeman
In Environmental Engineering
- Daniel J. A. Johansson
- Mark C. Freeman
- B. Groom
- M. Drupp
- F. Nesje
- F. Venmans
- Richard S. J. Tol
- Simon Dietz
Citations in the corpus
- The GDP-Temperature relationship: Implications for climate change damages (2021, unknown): “Most models, including the IAMs used to estimate the U.S. social cost of carbon, predict losses of a few percent of GDP from a few degrees of warming (Greenstone et al. 2013; Tol 2014; Nordhaus and Moffat 2017).”
- Climate economics support for the UN climate targets (2020, methodology): “For instance, the quadratic damage function used in the standard DICE is calibrated to a meta-analysis 46 that has been shown to suffer from multiple citation bias, a form of non-independence 28 .”
- Cumulative carbon emissions and economic policy: In search of general principles (2019, background): “With this caveat front and centre, the existing data points on which the damage function might be fitted have been collected by Nordhaus and Moffat (2017) and are reproduced in Appendix B.”
- The Effects of Weather Shocks on Economic Activity: What are the Channels of Impact? (2018, unknown): “Simulations in this extended model indicate that over the long term, for the median low- 18 For a survey of estimates of climate change damage at the global level, see Tol (2014) and Nordhaus and Moffat (2017).”
- Pricing Uncertainty Induced by Climate Change (2020, result): “This perspective is consistent with the Bayesian computations of Olson et al. (2012) for what they call the climate sensitivity parameter that we mentioned earlier.”
- A social cost of carbon for (almost) every country (2019, background): “See also Howard and Sterner (2017) and Nordhaus and Moffat (2017).”