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Erratum to: The impact of statistical learning on violations of the sure-thing principle

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  • Nicky Nicholls
  • Aylit Romm
  • Alexander Zimper

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Suggested Citation

  • Nicky Nicholls & Aylit Romm & Alexander Zimper, 2015. "Erratum to: The impact of statistical learning on violations of the sure-thing principle," Journal of Risk and Uncertainty, Springer, vol. 50(2), pages 117-117, April.
    • Handle: RePEc:kap:jrisku:v:50:y:2015:i:2:p:117-117
    DOI: 10.1007/s11166-015-9214-7
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    Citations

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    Cited by:

    1. Daniel J. Benjamin & Mark Alan Fontana & Miles Kimball, 2020. "Reconsidering Risk Aversion," GRU Working Paper Series GRU_2020_026, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    2. Roxane Bricet, 2018. "Preferences for information precision under ambiguity," THEMA Working Papers 2018-09, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    3. Enrica Carbone & Konstantinos Georgalos & Gerardo Infante, 2019. "Individual vs. group decision-making: an experiment on dynamic choice under risk and ambiguity," Theory and Decision, Springer, vol. 87(1), pages 87-122, July.
    4. Roxane Bricet, 2018. "The price for instrumentally valuable information," THEMA Working Papers 2018-10, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    5. Fabian Herweg & Svenja Hippel & Daniel Müller & Fabio Römeis, 2024. "Axiom Preferences and Choice Mistakes under Risk," CESifo Working Paper Series 11166, CESifo.
    6. Alexander Zimper & Wei Ma, 2017. "Bayesian learning with multiple priors and nonvanishing ambiguity," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 64(3), pages 409-447, October.
    7. Walter, Johannes & Biermann, Jan & Horton, John, 2024. "Advised by an Algorithm: Learning with Different Informational Resources," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302407, Verein für Socialpolitik / German Economic Association.
    8. Michael H. Birnbaum & Ulrich Schmidt, 2015. "The Impact of Learning by Thought on Violations of Independence and Coalescing," Decision Analysis, INFORMS, vol. 12(3), pages 144-152.
    9. Larry G. Epstein & Shaolin Ji, 2017. "Optimal Learning and Ellsberg’s Urns," Boston University - Department of Economics - Working Papers Series WP2017-010, Boston University - Department of Economics.
    10. Larry G. Epstein & Shaolin Ji, 2022. "Optimal Learning Under Robustness and Time-Consistency," Operations Research, INFORMS, vol. 70(3), pages 1317-1329, May.

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