Incorporating Climate Uncertainty into Estimates of Climate Change Impacts

A-Tier
Journal: Review of Economics and Statistics
Year: 2015
Volume: 97
Issue: 2
Pages: 461-471

Authors (5)

Marshall Burke (not in RePEc) John Dykema (not in RePEc) David B. Lobell (not in RePEc) Edward Miguel (University of California-Berke...) Shanker Satyanath (not in RePEc)

Score contribution per author:

0.804 = (α=2.01 / 5 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Quantitative estimates of the impacts of climate change on economic outcomes are important for public policy. We show that the vast majority of estimates fail to account for well-established uncertainty in future temperature and rainfall changes, leading to potentially misleading projections. We reexamine seven well-cited studies and show that accounting for climate uncertainty leads to a much larger range of projected climate impacts and a greater likelihood of worst-case outcomes, an important policy parameter. Incorporating climate uncertainty into future economic impact assessments will be critical for providing the best possible information on potential impacts. © 2015 The President and Fellows of Harvard College and the Massachusetts Institute of Technology

Technical Details

RePEc Handle
repec:tpr:restat:v:97:y:2015:i:2:p:461-471
Journal Field
General
Author Count
5
Added to Database
2026-01-26