Quantifying Information and Uncertainty
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Corrao, Roberto & Fudenberg, Drew & Levine, David K., 2024.
"On concave functions over lotteries,"
Journal of Mathematical Economics, Elsevier, vol. 110(C).
- Roberto Corrao & Drew Fudenberg & David K Levine, 2023. "On Concave Functions over Lotteries," Levine's Working Paper Archive 786969000000001804, David K. Levine.
- Brice Corgnet & Simon Gaechter & Roberto Hernan Gonzalez, 2020.
"Working Too Much for Too Little: Stochastic Rewards Cause Work Addiction,"
Discussion Papers
2020-03, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
- Corgnet, Brice & Gächter, Simon & González, Roberto Hernán, 2020. "Working Too Much for Too Little: Stochastic Rewards Cause Work Addiction," IZA Discussion Papers 12992, IZA Network @ LISER.
- Brice Corgnet & Simon Gaechter & Roberto Hernán González, 2020. "Working too much for too little: stochastic rewards cause work addiction," Working Papers halshs-02483337, HAL.
- Brice Corgnet & Simon Gaechter & Roberto Hernán González, 2020. "Working too much for too little: stochastic rewards cause work addiction," Working Papers 2007, Groupe d'Analyse et de Théorie Economique Lyon St-Etienne (GATE Lyon St-Etienne), Université de Lyon.
- Brice Corgnet & Simon Gaechter & Roberto Hernán González, 2020. "Working Too Much for Too Little: Stochastic Rewards Cause Work Addiction," Working Papers 20-04, Chapman University, Economic Science Institute.
- Kubota,Megumi & Zeufack,Albert G., 2020. "Assessing the Returns on Investment in Data Openness and Transparency," Policy Research Working Paper Series 9139, The World Bank.
- Tamer Boyacı & Caner Canyakmaz & Francis de Véricourt, 2024. "Human and Machine: The Impact of Machine Input on Decision Making Under Cognitive Limitations," Management Science, INFORMS, vol. 70(2), pages 1258-1275, February.
- Fissler, Tobias & Pesenti, Silvana M., 2023. "Sensitivity measures based on scoring functions," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1408-1423.
- Benjamin Brooks & Alexander Frankel & Emir Kamenica, 2025. "Representing type spaces as signal allocations," Economic Theory Bulletin, Springer;Society for the Advancement of Economic Theory (SAET), vol. 13(1), pages 37-43, April.
- J. Aislinn Bohren & Daniel N. Hauser, 2023. "Behavioral Foundations of Model Misspecification," PIER Working Paper Archive 23-007, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Hébert, Benjamin & Woodford, Michael, 2023.
"Rational inattention when decisions take time,"
Journal of Economic Theory, Elsevier, vol. 208(C).
- Benjamin M. Hébert & Michael Woodford, 2019. "Rational Inattention when Decisions Take Time," NBER Working Papers 26415, National Bureau of Economic Research, Inc.
- Hébert, Benjamin & Zhong, Weijie, 0. "Engagement maximization," Theoretical Economics, Econometric Society.
- Hou, Yunfei & Hu, Changsheng, 2023. "Understanding the role of aggregate analyst attention in resolving stock market uncertainty," Finance Research Letters, Elsevier, vol. 57(C).
- Tamer Boyaci, & Caner Canyakmaz, & Francis de Véricourt,, 2020. "Human and machine: The impact of machine input on decision-making under cognitive limitations," ESMT Research Working Papers ESMT-20-02, ESMT European School of Management and Technology.
- Daniele Pennesi, 2020. "Identity and information acquisition," Carlo Alberto Notebooks 610, Collegio Carlo Alberto, revised 2021.
- Avi Dor & William Encinosa & Kathleen Carey, 2020. "Hospital performance standards and medical pricing: The impact of information disclosure in cardiac care," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 29(3), pages 492-515, July.
- Sander Renes & Bauke Visser, 2025. "Strategic Expert Committees and the Markets That Assess Them: A Laboratory Experiment," Management Science, INFORMS, vol. 71(7), pages 6227-6247, July.
- Luca Braghieri, 2023. "Biased Decoding and the Foundations of Communication," CESifo Working Paper Series 10432, CESifo.
- Mark Whitmeyer & Cole Williams, 2024. "Strong Dominance for Dynamic Signals," Papers 2407.16648, arXiv.org, revised May 2026.
- Ehud Lehrer & Tao Wang, 2024. "The value of information in stopping problems," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 78(2), pages 619-648, September.
- Yuchen Hu & Martin J. Wainwright & Stephen Bates, 2026. "Buying Data of Unknown Quality: Fisher Information Procurement Auctions," Papers 2604.08821, arXiv.org.
- Áron Tóbiás, 2023. "Cognitive limits and preferences for information," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 46(1), pages 221-253, June.
- Benjamin Davies, 2024. "Learning about a changing state," Papers 2401.03607, arXiv.org, revised Jan 2026.
- Ehud Lehrer & Tao Wang, 2022. "The Value of Information in Stopping Problems," Papers 2205.06583, arXiv.org.
- Brice Corgnet & Roberto Hernán González, 2023. "On The Appeal Of Complexity," Working Papers 2312, Groupe d'Analyse et de Théorie Economique Lyon St-Etienne (GATE Lyon St-Etienne), Université de Lyon.
- Megumi Kubota, 2025. "Boosting Data Transparency : A Shared Incentive for Borrowers and Investors," Policy Research Working Paper Series 11054, The World Bank.
- Roc Armenter & Michèle Müller-Itten & Zachary Stangebye, 2020.
"Rational Inattention via Ignorance Equivalence,"
Working Papers
20-24, Federal Reserve Bank of Philadelphia.
- Roc Armenter & Michèle Müller-Itten & Zachary Strangebye, 2021. "Rational Inattention via Ignorance Equivalence," Working Papers 21-29, Federal Reserve Bank of Philadelphia.
- Daniele Pennesi, 2021. "Between Commitment and Flexibility: Revealing Anticipated Regret and Elation," Working papers 071, Department of Economics, Social Studies, Applied Mathematics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
- David Leong, 2024. "Mental Modeling of Entrepreneurial Opportunity Based on the Principle of Information Visualization," Business Perspectives and Research, , vol. 12(4), pages 488-504, October.
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