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Transforming Probabilities without Violating Stochastic Dominance

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Mathematical Psychology in Progress

Part of the book series: Recent Research in Psychology ((PSYCHOLOGY))

Abstract

The idea of expected utility, to transform payments into their utilities before calculating expectation, traces back at least to Bernoulli (1738). It is a very natural idea to transform, analogously, probabilities. This paper gives heuristic visual arguments to show that the, at first sight, natural way to do this, at second thought seems questionable. At second thought a sound and natural way is the way of anticipated utility, as indicated by Quiggin (1982).

The research has been made possible by a fellowship of the Royal Netherlands Academy of Arts and Sciences.

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References

  • Aczél, J., (1966), ‘Lectures on Functional Equations and Their Applications’. Academic Press, New York.

    Google Scholar 

  • Allais, M. (1988), ‘The General Theory of Random Choices in Relation to the Invariant Cardinal Utility Function and the Specific Probability Function’. InB. R. Munier (Ed.), Risk, Decision and Rationality, Reidel, Dordrecht.

    Google Scholar 

  • Anger, B. (1977), ‘Representations of Capacities’, Mathematische Annalen229, 245–258.

    Article  Google Scholar 

  • Arrow, K.J. (1965), ‘Aspects of the Theory of Risk-Bearing’. Academic Bookstore, Helsinki.

    Google Scholar 

  • Arrow, K.J. (1971), ‘Essays in the Theory of Risk-Bearing’. North-Holland, Amsterdam.

    Google Scholar 

  • Bernoulli, D. (1738), ‘Specimen Theoria Novae de Mensura Sortis’, Commentarii Academiae Scientiarum Imperialis Petropolitanae5, 175–192. Translated into English by L. Sommer (1954), ‘Exposition of a New Theory on the Measurement of Risk’, Econometrica12, 23–36; or in A.N. Page (Ed., 1968), Utility Theory: A Book of Readings’, Chapter 11, Wiley, New York.

    Google Scholar 

  • Chateauneuf, A. (1988a), ‘Uncértainty Aversion and Risk Aversion in Models with Nonadditive Probabilities’. InB. R. Munier (Ed.), Risk, Decision and Rationality, 615–629, Reidel, Dordrecht.

    Chapter  Google Scholar 

  • Chateauneuf, A. (1988b), ‘Decomposable Measures, Distorted Probabilities and Concave Capacities’, Working paper, Groupe de Mathématiques Economiques, Université de Paris I.

    Google Scholar 

  • Chateauneuf, A. & J.-Y.Jaffray (1987), ‘Some Characterizations of Lower Probabilities and Other Monotone Capacities’, Mathematical Social Sciences, forthcoming.

    Google Scholar 

  • Chew, S.H. (1985), ‘An Axiomatization of the Rank-Dependent Quasilinear Mean Generalizing the Gini Mean and the Quasilinear Mean’, Economics Working Paper # 156, Johns Hopkins University.

    Google Scholar 

  • Chew, S.H., E. Karni, & Z. Safra (1987), ‘Risk Aversion in the Theory of Expected Utility with Rank Dependent Probabilities’, Journal of Economic Theory42, 370–381.

    Article  Google Scholar 

  • Choquet, G. (1953–4), ‘Theory of Capacities’, Annales de l’Institut Fourier (Grenoble) 5, 131–295.

    Article  Google Scholar 

  • Coombs, C.A., Th.G.G. Bezembinder, & F.M. Goode (1967), ‘Testing Expectation Theories without Measuring Utility or Subjective Probability’, Journal of Mathematical Psychology 4, 72–103.

    Article  Google Scholar 

  • Dellacherie, C. (1970), ‘Quelques Commentaires sur les Prolongements de Capacités’, Seminaire de Probabilités V Strasbourg, (Lecture Notes in Mathematics 191), Springer Verlag, Berlin.

    Google Scholar 

  • Denneberg, D. (1988), D. (1988), ‘On Non-Expected-Utility Preferences’, paper presented at 4th FUR conference, Budapest, 1988.

    Google Scholar 

  • Dubois, D. & H. Prade (1988), ‘Modelling Uncertainty and Inductive Inference: A Survey of Recent Non-Additive Probability Systems’, Acta Psychologica 68, forthcoming.

    Google Scholar 

  • Ebert, U. (1987), ‘Measurement of Inequality: An Attempt at Unification and Generalization’, Social Choice and Welfare, forthcoming.

    Google Scholar 

  • Ebert, U. (1988), ‘Rawls and Bentham Reconciled’, Theory and Decision24, 215–223.

    Article  Google Scholar 

  • Edwards, W. (1954), ‘The Theory of Decision Making’, Psychological Bulletin51, 380–417.

    Article  PubMed  Google Scholar 

  • Edwards, W. (1962), ‘Subjective Probabilities Inferred from Decisions’, Psychological Review69, 109–135.

    Article  PubMed  Google Scholar 

  • Fellner, W. (1961), ‘Distortion of Subjective Probabilities as a Reaction to Uncertainty’, Quarterly Journal of Economics75, 670–690.

    Article  Google Scholar 

  • Fishburn, P.C. (1988), ‘Nonlinear Preference and Utility Theory’. Johns Hopkins University Press, Baltimore.

    Google Scholar 

  • Gilboa, I. (1985), ‘Subjective Distortions of Probabilities and Non-Additive Probabilities’, Working paper 18–85, Foerder Institute for Economic Research, Tel-Aviv University, Ramat Aviv, Israel.

    Google Scholar 

  • Gilboa, I. (1987a), ‘Expected Utility with Purely Subjective Non- Additive Probabilities’, Journal of Mathematical Economics16, 65–88.

    Article  Google Scholar 

  • Gilboa, I. (1987b), ‘Expectations and Variations in Multi-Period Decisions’, Econometrica, forthcoming. Working paper 10–87, Foerder Institute for Economic Research, Tel-Aviv University, Ramat Aviv, Israel.

    Google Scholar 

  • Gilboa, I. (1989), ‘Duality in Non-Additive Expected Utility Theory’. InP.C.Fishburn &I.H.LaValle (Eds.), Choice under Uncertainty, Annals of Operations Research, J.C. Baltzer AG., Basel, forthcoming.

    Google Scholar 

  • Hilton, R.W. (1988), ‘Risk Attitude under Two Alternative Theories of Choice under Risk’, Journal of Economic Behaviour and Organization9, 119–136.

    Article  Google Scholar 

  • Huber, P.J. (1981), ‘Robust Statistics’. Wiley, New York.

    Book  Google Scholar 

  • Kahneman, D. & A. Tversky (1979), ‘Prospect Theory: An Analysis of Decision under Risk’, Econometrica 47, 263–291.

    Article  Google Scholar 

  • Karni, E. (1988), Personal communication.

    Google Scholar 

  • Krantz, D.H., R.D. Luce, P. Suppes, & A. Tversky (1971), ‘Foundations of Measurement, Vol. I. (Additive and Polynomial Representations)’. Academic Press, New York.

    Google Scholar 

  • Luce, R.D. & P. Suppes (1965), ‘Preference, Utility, and Subjective Probability’. InR.D. Luce, R.R. Bush, &E. Galanter (Eds.), Handbook of Mathematical Psychology, III, Wiley, New York.

    Google Scholar 

  • Machina, M.J. (1982), “Expected Utility’ Analysis without the Independence Axiom’, Econometrica50, 277–323.

    Article  Google Scholar 

  • Machina, M.J. (1987), ‘Choice under Uncertainty: Problems Solved and Unsolved’, Economic Perspectives1, 121–154.

    Google Scholar 

  • Maddy, P. (1988), ‘Believing the Axioms. I’, The Journal of Symbolic Logic53, 481–511.

    Article  Google Scholar 

  • Nakamura, Y. (1989), ‘Subjective Expected Utility with Non-Additive Probabilities on Finite State Space’, Discussion paper No. 400, April 1989, University of Tsukuba, Tsukuba, Ibaraki, Japan.

    Google Scholar 

  • Pratt, J.W. (1964), ‘Risk Aversion in the Small and in the Large’, Econometrica32, 122–136.

    Article  Google Scholar 

  • Preston, M.G. & P. Baratta (1948), ‘An Experimental Study of the Auction Value of an Uncertain Outcome’, American Journal of Psychology 61, 183–193.

    Article  Google Scholar 

  • Quiggin, J. (1982), ‘A Theory of Anticipated Utility’, Journal of Economic Behaviour and Organization3, 323–343.

    Article  Google Scholar 

  • Rüell, A. (1987), ‘Risk Aversion in Quiggin and Yaari’s Rank- Order Model of Choice under Uncertainty’, (Supplement to the) Economic Journal 97, 143–160.

    Google Scholar 

  • Savage, L.J. (1954), The Foundations of Statistics’. Wiley, New York. ( Second edition 1972, Dover, New York. )

    Google Scholar 

  • Schlee, E. (1988), ‘The Value of Information in Anticipated Utility Theory’, University of Alabama, Department of Economics, October 1988.

    Google Scholar 

  • Schmeidler, D. (1982), ‘Subjective Probability without Additivity’, Foerder Institut of Economic Research, Tel Aviv University, Tel Aviv, Israel. (Rewritten as Schmeidler, 1984.)

    Google Scholar 

  • Schmeidler, D. (1984), ‘Nonadditive Probabilities and Convex Games’. Caress working paper 84–21 (second part), University of Pennsylvania, Center for Analytic Research in Economics and the Social Sciences, Philadelphia, PA.

    Google Scholar 

  • Schmeidler, D. (1986), ‘Integral Representation without Additivity’. Proceedings of the American Mathematical Society97, 255–261.

    Article  Google Scholar 

  • Segal, U. (1988), ‘Anticipated Utility: A Measure Representation Approach’, Working paper 8803, University of Toronto, Department of Economics and Institute for Policy Analysis, Toronto, Canada. Submitted to Annals of Operations Research. Rewritten version of Segal (1984), ‘Nonlinear Decision Weights with the Independence Axiom’, Working paper 353, University of California, Department of Economics, Los Angeles, USA.

    Google Scholar 

  • Tversky, A. (1967), ‘Additivity, Utility, and Subjective Probability’, Journal of Mathematical Psychology4, 175–201.

    Article  Google Scholar 

  • von Neumann, J. & O. Morgenstern (1944, 1947, 1953), Theory of Games and Economic Behavior Princeton University Press, Princeton NJ.

    Google Scholar 

  • Wakker, P.P. (1987), ‘From Decision Making under Uncertainty to Game Theory’.

    Google Scholar 

  • In H.J.M. Peters & O.J. Vrieze (Eds.), Surveys of Game Theory and Related Topics, 163–180, CWI Tract 39, Centre for Mathematics and Computer Science, Amsterdam.

    Google Scholar 

  • Wakker, P.P. (1988), ‘The Algebraic Versus the Topological Approach to Additive Representations’, Journal of Mathematical Psychology32, 421–435.

    Article  Google Scholar 

  • Wakker, P.P. (1989a), ‘Continuous Subjective Expected Utility with Nonadditive Probabilities’, Journal of Mathematical Economics18, 1–27.

    Article  Google Scholar 

  • Wakker, P.P. (1989b), ‘Additive Representations of Preferences, A New Foundation of Decision Analysis’. Kluwer Academic Publishers, Dordrecht.

    Google Scholar 

  • Wakker, P.P. (1989c), ‘A Behavioral Foundation for Fuzzy Measures’, Internal report 89 MA 01, University of Nijmegen, NICI, Department of Mathematical Psychology, Nijmegen, The Netherlands. Submitted to Fuzzy Sets and Systems

    Google Scholar 

  • Wakker, P.P. (1989d), ‘Stochastic Dominance Implies the Equality [Choquet-Expected Utility = Anticipated Utility]’, Internal report 89 MA 02, University of Nijmegen, NICI, Department of Mathematical Psychology, Nijmegen, The Netherlands.

    Google Scholar 

  • Wakker, P.P. (1989e), ‘Characterizing Optimism and Pessimism Directly through Comonotonicity’, Internal report 89 NICI 06, University of Nijmegen, NICI, Department of Mathematical Psychology, Nijmegen, The Netherlands.

    Google Scholar 

  • Wallsten, T. (1971), ‘Subjective Expected Utility Theory and Subjects’ Probability Estimates: Use of Measurement-Free Techniques’, Journal of Experimental Psychology88, 31–40.

    Article  Google Scholar 

  • Wallsten, T.S. & B.H. Forsyth (1985), ‘On the Usefulness, Representation, and Validation of Non-Additive Probability Judgements for Risk Assessment’, Department of Psychology, University of North Carolina, Chapel Hill, NC, USA.

    Google Scholar 

  • Yaari, M.E. (1987a), ‘The Dual Theory of Choice under Risk’, Econometrica55, 95–115.

    Article  Google Scholar 

  • Yaari, M.E. (1987b), ‘Univariate and Multivatiate Comparisons of Risk Aversion: a New Approach’. InW.P. Heller, R.M. Starr, &D.A. Starrett (Eds.), Uncertainty, Information and Communication, Essays in honor of Kenneth J. Arrow, Vol. III, 173–187, Cambridge University Press, Cambridge.

    Google Scholar 

  • Yaari, M.E. (1988), ‘A Controversial Proposal Concerning Inequality Measurement’, Journal of Economic Theory 44, 381 - 397.

    Article  Google Scholar 

  • Yager, R.R. (1988), ‘On Ordered Weighted Averaging Aggregation Operators in Multicriteria Decisionmaking’, IEEE Transactions on Systems, Man, and Cybernetics18, 183–190.

    Article  Google Scholar 

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© 1989 Springer-Verlag Berlin Heidelberg

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Wakker, P. (1989). Transforming Probabilities without Violating Stochastic Dominance. In: Roskam, E.E. (eds) Mathematical Psychology in Progress. Recent Research in Psychology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83943-6_2

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  • DOI: https://doi.org/10.1007/978-3-642-83943-6_2

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