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The Use of Unbounded Utility Functions in Expected-Utility Maximization: Response

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  • Kenneth J. Arrow

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  • Kenneth J. Arrow, 1974. "The Use of Unbounded Utility Functions in Expected-Utility Maximization: Response," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 88(1), pages 136-138.
    • Handle: RePEc:oup:qjecon:v:88:y:1974:i:1:p:136-138.
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    File URL: http://hdl.handle.net/10.2307/1881800
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    Cited by:

    1. Assa, Hirbod & Zimper, Alexander, 2018. "Preferences over all random variables: Incompatibility of convexity and continuity," Journal of Mathematical Economics, Elsevier, vol. 75(C), pages 71-83.
    2. Ole Peters & Murray Gell-Mann, 2014. "Evaluating gambles using dynamics," Papers 1405.0585, arXiv.org, revised Jun 2015.
    3. De Donno, Marzia & Menegatti, Mario, 2022. "On the relationship between comparisons of risk aversion of different orders," Journal of Mathematical Economics, Elsevier, vol. 102(C).
    4. Machina, Mark J, 1982. ""Expected Utility" Analysis without the Independence Axiom," Econometrica, Econometric Society, vol. 50(2), pages 277-323, March.
    5. Seidl, Christian, 2012. "The Petersburg Paradox: Menger revisited," Economics Working Papers 2012-04, Christian-Albrechts-University of Kiel, Department of Economics.
    6. Masako Ikefuji & Roger J. A. Laeven & Jan R. Magnus & Chris Muris, 2011. "Weitzman meets Nordhaus: Expected utility and catastrophic risk in a stochastic economy-climate model," ISER Discussion Paper 0825, Institute of Social and Economic Research, Osaka University.
    7. Ikefuji, Masako & Laeven, Roger J.A. & Magnus, Jan R. & Muris, Chris, 2020. "Expected utility and catastrophic risk in a stochastic economy–climate model," Journal of Econometrics, Elsevier, vol. 214(1), pages 110-129.
    8. Rieger, Marc Oliver & Wang, Mei, 2004. "Cumulative prospect theory and the St.Petersburg paradox," Papers 04-28, Sonderforschungsbreich 504.
    9. Andrea Rampa, 2020. "Climate change, catastrophes and Dismal Theorem: a critical review [Klimawandel, Katastrophen und das „Dismal Theorem“: eine kritische Überprüfung]," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 40(2), pages 113-136, October.
    10. Catalina POPESCU & Ion DOBRE, 2011. "On The Correlated Impact Of The Factors Of Risk Aversion On Decision-Making," Journal of Knowledge Management, Economics and Information Technology, ScientificPapers.org, vol. 1(4), pages 1-4, June.
    11. Hindriks, Jean, 1999. "On the incompatibility between revenue maximisation and tax progressivity1," European Journal of Political Economy, Elsevier, vol. 15(1), pages 123-140, March.
    12. Rieger, Marc Oliver, 2012. "Optimal financial investments for non-concave utility functions," Economics Letters, Elsevier, vol. 114(3), pages 239-240.
    13. Marie Pfiffelmann, 2007. "How to solve the St Petersburg Paradox in Rank-Dependent Models ?," Working Papers of LaRGE Research Center 2007-08, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
    14. Millner, Antony, 2013. "On welfare frameworks and catastrophic climate risks," Journal of Environmental Economics and Management, Elsevier, vol. 65(2), pages 310-325.
    15. Antony Millner, 2013. "On Welfare Frameworks and Catastrophic Climate Risks," CESifo Working Paper Series 4442, CESifo.
    16. Kenneth Arrow & Marcel Priebsch, 2014. "Bliss, Catastrophe, and Rational Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 58(4), pages 491-509, August.
    17. Ikefuji, Masako & Laeven, Roger J.A. & Magnus, Jan R. & Muris, Chris, 2015. "Expected utility and catastrophic consumption risk," Insurance: Mathematics and Economics, Elsevier, vol. 64(C), pages 306-312.
    18. Stefanescu, Razvan & Dumitriu, Ramona, 2013. "Procese decizionale în cadrul managementului riscurilor [Decision – making Processes in the Risk Management]," MPRA Paper 50754, University Library of Munich, Germany, revised 17 Oct 2013.
    19. Christian Seidl, 2013. "The St. Petersburg Paradox at 300," Journal of Risk and Uncertainty, Springer, vol. 46(3), pages 247-264, June.
    20. Erio Castagnoli & Marco LiCalzi, 2005. "Expected utility without utility," Game Theory and Information 0508004, University Library of Munich, Germany.
    21. Mikl'os R'asonyi & Andrea Meireles Rodrigues, 2013. "Continuous-Time Portfolio Optimisation for a Behavioural Investor with Bounded Utility on Gains," Papers 1309.0362, arXiv.org, revised Mar 2014.
    22. Marie Pfiffelmann, 2011. "Solving the St. Petersburg Paradox in cumulative prospect theory: the right amount of probability weighting," Theory and Decision, Springer, vol. 71(3), pages 325-341, September.
    23. Masako Ikefuji & Roger Laeven & Jan Magnus & Chris Muris, 2014. "Expected Utility and Catastrophic Risk," Tinbergen Institute Discussion Papers 14-133/III, Tinbergen Institute.
    24. Hwang, In Chang & Tol, Richard S.J. & Hofkes, Marjan W., 2016. "Fat-tailed risk about climate change and climate policy," Energy Policy, Elsevier, vol. 89(C), pages 25-35.
    25. In Chang Hwang & Richard S.J. Tol & Marjan W. Hofkes, 2013. "Tail-effect and the Role of Greenhouse Gas Emissions Control," Working Paper Series 6613, Department of Economics, University of Sussex Business School.

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