Uncertainty in forecasts of long-run economic growth

Author:

Christensen P.,Gillingham K.,Nordhaus W.

Abstract

Forecasts of long-run economic growth are critical inputs into policy decisions being made today on the economy and the environment. Despite its importance, there is a sparse literature on long-run forecasts of economic growth and the uncertainty in such forecasts. This study presents comprehensive probabilistic long-run projections of global and regional per-capita economic growth rates, comparing estimates from an expert survey and a low-frequency econometric approach. Our primary results suggest a median 2010–2100 global growth rate in per-capita gross domestic product of 2.1% per year, with a standard deviation (SD) of 1.1 percentage points, indicating substantially higher uncertainty than is implied in existing forecasts. The larger range of growth rates implies a greater likelihood of extreme climate change outcomes than is currently assumed and has important implications for social insurance programs in the United States.

Funder

National Science Foundation

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

Reference44 articles.

1. Uncertain demographic futures and social security finances;Lee;Am Econ Rev,1998

2. Determining Benefits and Costs for Future Generations

3. K Gillingham (2015) Modeling uncertainty in climate change: A multi-model comparison (National Bureau of Economic Research, Cambridge, MA), Working Paper No. 21637.

4. National Academies of Sciences, Engineering, and Medicine (2016) Assessment of approaches to updating the social cost of carbon: Phase 1 report on a near-term update (The National Academies Press, Washington, DC). Available at https://doi.org/10.17226/21898. Accessed March 3, 2017.

5. Intergovernmental Panel on Climate Change (2014) Fifth assessment report: Climate change 2014. Available at https://www.ipcc.ch/report/ar5/. Accessed May 14, 2016.

Cited by 90 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3