Probability Assessments of an Ice-Free Arctic: Comparing Statistical and Climate Model Projections
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- Diebold, Francis X. & Rudebusch, Glenn D., 2022. "Probability assessments of an ice-free Arctic: Comparing statistical and climate model projections," Journal of Econometrics, Elsevier, vol. 231(2), pages 520-534.
- Francis X. Diebold & Glenn D. Rudebusch, 2019. "Probability Assessments of an Ice-Free Arctic: Comparing Statistical and Climate Model Projections," Papers 1912.10774, arXiv.org, revised Jul 2021.
- Francis X. Diebold & Glenn D. Rudebusch, 2020. "Probability Assessments of an Ice-Free Arctic: Comparing Statistical and Climate Model Projections," Working Paper Series 2020-02, Federal Reserve Bank of San Francisco.
- Francis X. Diebold & Glenn D. Rudebusch, 2020. "Probability Assessments of an Ice-Free Arctic: Comparing Statistical and Climate Model Projections," NBER Working Papers 28228, National Bureau of Economic Research, Inc.
References listed on IDEAS
- Diebold, Francis X. & Shin, Minchul, 2019.
"Machine learning for regularized survey forecast combination: Partially-egalitarian LASSO and its derivatives,"
International Journal of Forecasting, Elsevier, vol. 35(4), pages 1679-1691.
- Francis X. Diebold & Minchul Shin, 2018. "Machine Learning for Regularized Survey Forecast Combination: Partially Egalitarian Lasso and its Derivatives," PIER Working Paper Archive 18-014, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 17 Aug 2018.
- Francis X. Diebold & Minchul Shin, 2018. "Machine Learning for Regularized Survey Forecast Combination: Partially-Egalitarian Lasso and its Derivatives," NBER Working Papers 24967, National Bureau of Economic Research, Inc.
- Diebold, Francis X. & Göbel, Maximilian & Goulet Coulombe, Philippe & Rudebusch, Glenn D. & Zhang, Boyuan, 2021.
"Optimal combination of Arctic sea ice extent measures: A dynamic factor modeling approach,"
International Journal of Forecasting, Elsevier, vol. 37(4), pages 1509-1519.
- Francis X. Diebold & Maximilian Gobel & Philippe Goulet Coulombe & Glenn D. Rudebusch & Boyuan Zhang, 2020. "Optimal Combination of Arctic Sea Ice Extent Measures: A Dynamic Factor Modeling Approach," Papers 2003.14276, arXiv.org, revised Aug 2020.
- Francis X. Diebold & Maximilian Gobel & Philippe Goulet Coulombe & Glenn D. Rudebusch & Boyuan Zhang, 2020. "Optimal Combination of Arctic Sea Ice Extent Measures: A Dynamic Factor Modeling Approach," PIER Working Paper Archive 20-012, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Luke D. Trusel & Sarah B. Das & Matthew B. Osman & Matthew J. Evans & Ben E. Smith & Xavier Fettweis & Joseph R. McConnell & Brice P. Y. Noël & Michiel R. Broeke, 2018. "Nonlinear rise in Greenland runoff in response to post-industrial Arctic warming," Nature, Nature, vol. 564(7734), pages 104-108, December.
- Eddy Bekkers & Joseph F. Francois & Hugo Rojas†Romagosa, 2018.
"Melting Ice Caps and the Economic Impact of Opening the Northern Sea Route,"
Economic Journal, Royal Economic Society, vol. 128(610), pages 1095-1127, May.
- Francois, Joseph F. & Rojas-Romagosa, Hugo, 2013. "Melting Ice Caps and the Economic Impact of Opening the Northern Sea Route," Conference papers 332392, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
- Francois, Joseph & Bekkers, Eddy & Rojas-Romagosa, Hugo, 2016. "Melting Ice Caps and the Economic Impact of Opening the Northern Sea Route," CEPR Discussion Papers 11670, Centre for Economic Policy Research.
- Hugo Rojas-Romagosa & Eddy Bekkers & Joseph F. Francois, 2015. "Melting Ice Caps and the Economic Impact of Opening the Northern Sea Route," CPB Discussion Paper 307, CPB Netherlands Bureau for Economic Policy Analysis.
- David Schröder & Daniel L. Feltham & Daniela Flocco & Michel Tsamados, 2014. "September Arctic sea-ice minimum predicted by spring melt-pond fraction," Nature Climate Change, Nature, vol. 4(5), pages 353-357, May.
- Alastair R. Hall & Denise R. Osborn & Nikolaos Sakkas, 2013.
"Inference on Structural Breaks using Information Criteria,"
Manchester School, University of Manchester, vol. 81, pages 54-81, October.
- Alastair R. Hall & Denise R. Osborn & Nikolaos D. Sakkas, 2012. "Inference on Structural Breaks using Information Criteria," Centre for Growth and Business Cycle Research Discussion Paper Series 173, Economics, The University of Manchester.
- Julienne Stroeve & Walter Meier, 2012. "Arctic Sea Ice Decline," Chapters, in: Guoxiang Liu (ed.), Greenhouse Gases - Emission, Measurement and Management, IntechOpen.
- Maria-Vittoria Guarino & Louise C. Sime & David Schröeder & Irene Malmierca-Vallet & Erica Rosenblum & Mark Ringer & Jeff Ridley & Danny Feltham & Cecilia Bitz & Eric J. Steig & Eric Wolff & Julienne , 2020. "Sea-ice-free Arctic during the Last Interglacial supports fast future loss," Nature Climate Change, Nature, vol. 10(10), pages 928-932, October.
- Chad W. Thackeray & Alex Hall, 2019. "An emergent constraint on future Arctic sea-ice albedo feedback," Nature Climate Change, Nature, vol. 9(12), pages 972-978, December.
- Nelson, Charles R, 1972. "The Prediction Performance of the FRB-MIT-PENN Model of the U.S. Economy," American Economic Review, American Economic Association, vol. 62(5), pages 902-917, December.
- Julienne Stroeve & Mark Serreze & Marika Holland & Jennifer Kay & James Malanik & Andrew Barrett, 2012. "The Arctic’s rapidly shrinking sea ice cover: a research synthesis," Climatic Change, Springer, vol. 110(3), pages 1005-1027, February.
- Kenneth F. Wallis, 1987. "Time Series Analysis Of Bounded Economic Variables," Journal of Time Series Analysis, Wiley Blackwell, vol. 8(1), pages 115-123, January.
- Michael D. Bauer & Glenn D. Rudebusch, 2016.
"Monetary Policy Expectations at the Zero Lower Bound,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(7), pages 1439-1465, October.
- Michael D. Bauer & Glenn D. Rudebusch, 2013. "Monetary Policy Expectations at the Zero Lower Bound," Working Paper Series 2013-18, Federal Reserve Bank of San Francisco.
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Cited by:
- Diebold, Francis X. & Göbel, Maximilian & Goulet Coulombe, Philippe & Rudebusch, Glenn D. & Zhang, Boyuan, 2021.
"Optimal combination of Arctic sea ice extent measures: A dynamic factor modeling approach,"
International Journal of Forecasting, Elsevier, vol. 37(4), pages 1509-1519.
- Francis X. Diebold & Maximilian Gobel & Philippe Goulet Coulombe & Glenn D. Rudebusch & Boyuan Zhang, 2020. "Optimal Combination of Arctic Sea Ice Extent Measures: A Dynamic Factor Modeling Approach," PIER Working Paper Archive 20-012, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Francis X. Diebold & Maximilian Gobel & Philippe Goulet Coulombe & Glenn D. Rudebusch & Boyuan Zhang, 2020. "Optimal Combination of Arctic Sea Ice Extent Measures: A Dynamic Factor Modeling Approach," Papers 2003.14276, arXiv.org, revised Aug 2020.
- Diebold, Francis X. & Rudebusch, Glenn D., 2023.
"Climate models underestimate the sensitivity of Arctic sea ice to carbon emissions,"
Energy Economics, Elsevier, vol. 126(C).
- Francis X. Diebold & Glenn D. Rudebusch, 2023. "Climate Models Underestimate the Sensitivity of Arctic Sea Ice to Carbon Emissions," Papers 2307.03552, arXiv.org.
- Francis X. Diebold & Glenn D. Rudebusch, 2023. "Climate Models Underestimate the Sensitivity of Arctic Sea Ice to Carbon Emissions," PIER Working Paper Archive 24-010, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Vasco J.Gabriel & Luis F. Martins & Anthoulla Phella, 2021. "Modelling Low-Frequency Covariability of Paleoclimatic Data," Working Papers 2022_17, Business School - Economics, University of Glasgow.
- Diebold, Francis X. & Rudebusch, Glenn D. & Göbel, Maximilian & Goulet Coulombe, Philippe & Zhang, Boyuan, 2023.
"When will Arctic sea ice disappear? Projections of area, extent, thickness, and volume,"
Journal of Econometrics, Elsevier, vol. 236(2).
- Francis X. Diebold & Glenn D. Rudebusch & Maximilian Goebel & Philippe Goulet Coulombe & Boyuan Zhang, 2022. "When Will Arctic Sea Ice Disappear? Projections of Area, Extent, Thickness, and Volume," Papers 2203.04040, arXiv.org, revised May 2023.
- Francis X. Diebold & Glenn D. Rudebusch & Maximilian Gobel & Philippe Goulet Coulombe & Boyuan Zhang, 2022. "When Will Arctic Sea Ice Disappear? Projections of Area, Extent, Thickness, and Volume," PIER Working Paper Archive 22-011, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Francis X. Diebold & Glenn D. Rudebusch & Maximilian Göbel & Philippe Goulet Coulombe & Boyuan Zhang, 2022. "When Will Arctic Sea Ice Disappear? Projections of Area, Extent, Thickness, and Volume," NBER Working Papers 30732, National Bureau of Economic Research, Inc.
- Yun-Sin Chen & Cheng-Yu Hu & Chun-Yi Li & Jia-Bin Lin & Yi-Che Shih, 2025. "Marine Spatial Planning for Offshore Wind Firms: A Comparison of Global Existing Policies and Data for Energy System Storage," Sustainability, MDPI, vol. 17(13), pages 1-19, June.
- Diebold, Francis X. & Rudebusch, Glenn D. & Göbel, Maximilian & Goulet Coulombe, Philippe & Zhang, Boyuan, 2024. "Reprint of: When will Arctic sea ice disappear? Projections of area, extent, thickness, and volume," Journal of Econometrics, Elsevier, vol. 239(1).
- Diebold, Francis X. & Göbel, Maximilian & Goulet Coulombe, Philippe, 2023.
"Assessing and comparing fixed-target forecasts of Arctic sea ice: Glide charts for feature-engineered linear regression and machine learning models,"
Energy Economics, Elsevier, vol. 124(C).
- Francis X. Diebold & Maximilian Gobel & Philippe Goulet Coulombe, 2022. "Assessing and Comparing Fixed-Target Forecasts of Arctic Sea Ice:Glide Charts for Feature-Engineered Linear Regression and Machine Learning Models," PIER Working Paper Archive 22-028, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Francis X. Diebold & Maximilian Goebel & Philippe Goulet Coulombe, 2022. "Assessing and Comparing Fixed-Target Forecasts of Arctic Sea Ice: Glide Charts for Feature-Engineered Linear Regression and Machine Learning Models," Papers 2206.10721, arXiv.org, revised Jun 2023.
- Francis X. Diebold & Maximilian Gobel & Philippe Goulet Coulombe, 2022. "Assessing and Comparing Fixed-Target Forecasts of Arctic Sea Ice: Glide Charts for Feature-Engineered Linear Regression and Machine Learning Models," Working Papers 22-04, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
- Luke P. Jackson & Katarina Juselius & Andrew B. Martinez & Felix Pretis, 2025. "Modelling the dependence between recent changes in polar ice sheets: Implications for global sea-level projections," Working Papers 2025-002, The George Washington University, The Center for Economic Research.
- Jennifer Castle & David Hendry, 2020. "Identifying the Causal Role of CO2 during the Ice Ages," Economics Series Working Papers 898, University of Oxford, Department of Economics.
- Philippe Goulet Coulombe & Maximilian Gobel, 2020.
"Arctic Amplification of Anthropogenic Forcing: A Vector Autoregressive Analysis,"
Papers
2005.02535, arXiv.org, revised Mar 2021.
- Philippe Goulet Coulombe & Maximilian Gobel, 2021. "Arctic Amplification of Anthropogenic Forcing: A Vector Autoregressive Analysis," Working Papers 21-04, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
- Brock, William A. & Miller, J. Isaac, 2024.
"Polar amplification in a moist energy balance model: A structural econometric approach to estimation and testing,"
Journal of Econometrics, Elsevier, vol. 245(1).
- William A. Brock & J. Isaac Miller, 2023. "Polar Amplification in a Moist Energy Balance Model: A Structural Econometric Approach to Estimation and Testing," Working Papers 2304, Department of Economics, University of Missouri.
- B. Cooper Boniece & Lajos Horv'ath & Lorenzo Trapani, 2023. "On changepoint detection in functional data using empirical energy distance," Papers 2310.04853, arXiv.org.
- Diebold, Francis X. & Göbel, Maximilian, 2022.
"A benchmark model for fixed-target Arctic sea ice forecasting,"
Economics Letters, Elsevier, vol. 215(C).
- Francis X. Diebold & Maximilian Gobel, 2021. "A Benchmark Model for Fixed-Target Arctic Sea Ice Forecasting," Papers 2101.10359, arXiv.org, revised Jan 2022.
- Francis X. Diebold & Maximilian Gobel, 2022. "A Benchmark Model for Fixed-Target Arctic Sea Ice Forecasting," PIER Working Paper Archive 22-002, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Blazsek, Szabolcs & Escribano, Alvaro & Kristof, Erzsebet, 2024.
"Global, Arctic, and Antarctic sea ice volume predictions using score-driven threshold climate models,"
Energy Economics, Elsevier, vol. 134(C).
- Blazsek, Szabolcs & Escribano, Álvaro & Kristof, Erzsebet, 2024. "Global, Arctic, and Antarctic sea ice volume predictions: using score-driven threshold climate models," UC3M Working papers. Economics 39546, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Marc Gronwald, 2023. "Explosive Temperatures," CESifo Working Paper Series 10680, CESifo.
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Keywords
; ; ; ; ; ;JEL classification:
- Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ENV-2020-01-20 (Environmental Economics)
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