Communicating uncertainty about facts, numbers, and science
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Cited by:
- Teigen, Karl Halvor & Juanchich, Marie & Løhre, Erik, 2022. "What is a “likely” amount? Representative (modal) values are considered likely even when their probabilities are low," Organizational Behavior and Human Decision Processes, Elsevier, vol. 171(C).
- Galvao, Ana Beatriz & Mitchell, James, 2019.
"Measuring Data Uncertainty : An Application using the Bank of England’s “Fan Charts” for Historical GDP Growth,"
EMF Research Papers
24, Economic Modelling and Forecasting Group.
- Ana Beatriz Galvão & James Mitchell, 2019. "Measuring Data Uncertainty: An Application using the Bank of England's "Fan Charts" for Historical GDP Growth," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2019-08, Economic Statistics Centre of Excellence (ESCoE).
- Ana Beatriz Galvão & James Mitchell & Johnny Runge, 2019.
"Communicating Data Uncertainty: Experimental Evidence for U.K. GDP,"
Economic Statistics Centre of Excellence (ESCoE) Discussion Papers
ESCoE DP-2019-20, Economic Statistics Centre of Excellence (ESCoE).
- Galvao, Ana Beatriz & Mitchell, James & Runge, Johnny, 2019. "Communicating Data Uncertainty: Experimental Evidence for U.K. GDP," EMF Research Papers 30, Economic Modelling and Forecasting Group.
- Ana Beatriz Galvão & James Mitchell, 2023.
"Real‐Time Perceptions of Historical GDP Data Uncertainty,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 457-481, June.
- Galvao, Ana Beatriz & Mitchell, James, 2020. "Real-Time Perceptions of Historical GDP Data Uncertainty," EMF Research Papers 35, Economic Modelling and Forecasting Group.
- Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022.
"Forecasting: theory and practice,"
International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
- Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
- Friederike Hendriks & Regina Jucks, 2020. "Does Scientific Uncertainty in News Articles Affect Readers’ Trust and Decision-Making?," Media and Communication, Cogitatio Press, vol. 8(2), pages 401-412.
- repec:jdm:journl:v:17:y:2022:i:4:p:849-882 is not listed on IDEAS
- Robin Gregory & Theresa Satterfield & David R. Boyd, 2020. "People, Pipelines, and Probabilities: Clarifying Significance and Uncertainty in Environmental Impact Assessments," Risk Analysis, John Wiley & Sons, vol. 40(2), pages 218-226, February.
- Carol Nash, 2021. "Challenges to Learners in Interpreting Self as Other, Post COVID-19," Challenges, MDPI, vol. 12(2), pages 1-24, November.
- repec:cup:judgdm:v:17:y:2022:i:4:p:849-882 is not listed on IDEAS
- Schils, René L.M. & van Voorn, George A.K. & Grassini, Patricio & van Ittersum, Martin K., 2022. "Uncertainty is more than a number or colour: Involving experts in uncertainty assessments of yield gaps," Agricultural Systems, Elsevier, vol. 195(C).
- Dominic Balog‐Way & Katherine McComas & John Besley, 2020. "The Evolving Field of Risk Communication," Risk Analysis, John Wiley & Sons, vol. 40(S1), pages 2240-2262, November.
- Aljoscha Minnich & Hauke Roggenkamp & Andreas Lange, 2023. "Ambiguity Attitudes and Surprises: Experimental Evidence on Communicating New Information within a Large Population Sample," CESifo Working Paper Series 10783, CESifo.
- Bholat, David & Broughton, Nida & Ter Meer, Janna & Walczak, Eryk, 2019. "Enhancing central bank communications using simple and relatable information," Journal of Monetary Economics, Elsevier, vol. 108(C), pages 1-15.
- Liliana Cori & Olivia Curzio & Gabriele Donzelli & Elisa Bustaffa & Fabrizio Bianchi, 2022. "A Systematic Review of Radon Risk Perception, Awareness, and Knowledge: Risk Communication Options," Sustainability, MDPI, vol. 14(17), pages 1-27, August.
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More about this item
Keywords
Epistemic Uncertainty; Uncertainty Communication; economic statistics uncertainty; interdisciplinary; JEL Classification Numbers: E01;All these keywords.
JEL classification:
- E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
NEP fields
This paper has been announced in the following NEP Reports:- NEP-HPE-2019-05-13 (History and Philosophy of Economics)
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