Forecast Uncertainty Analysis
Forecast Uncertainty Analysis is a systematic method within deterministic forecasting that quantifies and characterizes the potential deviations between predicted values and actual outcomes due to inherent model limitations, input variability, and structural assumptions.
586
Publications
35.5K
Citations
1.6K
Authors
702
Institutions
Publications per year
2017–2026
204
Parents
586
Economic uncertainty before and during the COVID-19 pandemic
Dave Altig, Scott Baker, Jose Maria Barrero et al. · Journal of Public Economics · 2020 · 993 citations · Full text
Justin Wolfers, Eric Zitzewitz · The Journal of Economic Perspectives · 2004 · 788 citations · Full text
Quantifying the uncertainty in forecasts of anthropogenic climate change
Myles Allen, Peter A. Stott, J. F. B. Mitchell et al. · Nature · 2000 · 666 citations
1–5 of 586
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702
Federal Reserve
Washington D.C., United States
14 h-index
22 publications
987 citations
NOAA National Centers for Environmental Prediction
College Park, United States
13 h-index
32 publications
3.4K citations
University of Reading
Reading, United Kingdom
13 h-index
29 publications
2.9K citations
Federal Reserve Board of Governors
Washington D.C., United States
13 h-index
20 publications
930 citations

National Bureau of Economic Research
Cambridge, United States
12 h-index
15 publications
2.4K citations

NSF National Center for Atmospheric Research
Boulder, United States
12 h-index
33 publications
3.8K citations
Texas A&M University
College Station, United States
10 h-index
17 publications
640 citations
Met Office
Exeter, United Kingdom
9 h-index
17 publications
2.3K citations
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20 publications · 1.2K citations
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Repository · 32 publications · 1.2K citations
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19 publications · 1.6K citations
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15 publications · 941 citations
14
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13 publications · 570 citations
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