Skip to main content
Log in

Testing Descriptive Utility Theories: Violations of Stochastic Dominance and Cumulative Independence

  • Published:
Journal of Risk and Uncertainty Aims and scope Submit manuscript

Abstract

Choices between gambles show systematic violations of stochastic dominance. For example, most people choose ($6, .05; $91, .03; $99, .92) over ($6, .02; $8, .03; $99, .95), violating dominance. Choices also violate two cumulative independence conditions: (1) If S = (z, r; x, p; y, q) ≻ R = (z, r; x′, p; y′, q) then S‴ = (x′, r; y, p + q) ≻ R″ = (x′, r + p; y′, q). (2) If S′ = (x, p; y, q; z′, r) ≺ R′ = (x′, p; y′, q; z′, r) then S‴ = (x, p + q; y′, r) ≺ R‴ = (x′, p; y′, q + r), where 0 < z < x′ < x < y < y < y′ < z′.

Violations contradict any utility theory satisfying transivity, outcome monotonicity, coalescing, and comonotonic independence. Because rank-and sign-dependent utility theories, including cumulative prospect theory (CPT), satisfy these properties, they cannot explain these results.

However, the configural weight model of Birnbaum and McIntosh (1996) predicted the observed violations of stochastic dominance, cumulative independence, and branch independence. This model assumes the utility of a gamble is a weighted average of outcomes\' utilities, where each configural weight is a function of the rank order of the outcome\'s value among distinct values and that outcome\'s probability. The configural weight, TAX model with the same number of parameters as CPT fit the data of most individuals better than the model of CPT.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Birnbaum, M.H. (1973). Morality judgment: Test of an averaging model with differential weights. Journal of Experimental Psychology 99, 395–399.

    Google Scholar 

  • Birnbaum, M.H. (1974). The nonadditivity of personality impressions. Journal of Experimental Psychology, 102, 543–561.

    Google Scholar 

  • Birnbaum, M.H. (1992). Violations of monotonicity and contextual effects in choice–based certainty equivalents. Psychological Science, 3, 310–314.

    Google Scholar 

  • Birnbaum, M.H. (1997). Violations of monotonicity in judgment and decision making. In A.A.J. Marley (Eds.), Choice, decision and measurement: Essays in honor of R. Duncan Luce (pp.73–100). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Birnbaum, M.H. (in press). Paradoxes of Allais, stochastic dominance, and decision weights. In J.C. Shanteau, Mellers, B.A., & Schum, D. (Eds.), Decision science and technology: Reflections on the contributions of Ward Edwards. Norwell, MA: Kluwer Academic Publishers.

  • Birnbaum, M.H., & Beeghley, D. (1997). Violations of branch independence in judgments of the value of gambles. Psychological Science, 8, 87–94.

    Google Scholar 

  • Birnbaum, M.H. & Chavez, A. (1997). Tests of theories of decision making: Violations of branch independence and distribution independence. Organizational Behavior and Human Decision Processes, 71, 161–194.

    Article  Google Scholar 

  • Birnbaum, M.H., Coffey, G., Mellers, B.A., & Weiss, R. (1992). Utility measurement: Configural–weight theory and the judge's point of view. Journal of Experimental Psychology: Human Perception and Performance, 18, 331–346.

    Article  Google Scholar 

  • Birnbaum, M.H. & McIntosh, W.R. (1996). Violations of branch independence in choices between gambles. Organizational Behavior and Human Decision Processes, 67, 91–110.

    Article  Google Scholar 

  • Birnbaum, M.H., Patton, J.N., & Lott, M.K. (in press). Evidence against rank–dependent utility theories: Violations of cumulative independence, interval independence, stochastic dominance, and transitivity. Organizational Behavior and Human Decision Processes, 74, 000–000.

  • Birnaum, M.H., & Stegner, S.E. (1979). Source credibility in social judgment: Bias, expertise, and the judge's point of view. Journal of Personality and Social Psychology, 37, 48–74.

    Article  Google Scholar 

  • Birnbaum, M.H., & Sutton, S.E. (1992). Scale convergence and utility measurement. Organizational Behavior and Human Decision Processes, 52, 183–215.

    Article  Google Scholar 

  • Birnbaum, M.H., Thompson, L.A., & Bean, D.J. (1997). Testing interval independence versus configural weighting using judgments of strength of preference. Journal of Experimental Psychology: Human Perception and Performance, 23, 939–947.

    Article  Google Scholar 

  • Birnbaum, M.H., & Veira, R. (1998). Configural weighting in judgments of two–and four–outcome gambles. Journal of Experimental Psychology: Human Perception and Performance, 24, 216–226.

    Article  Google Scholar 

  • Birnbaum, M.H., & Yeary, S. (1997). Tests of cumulative independence, coalescing, and stochastic dominance in judgments of buying and selling prices of gambles. Working paper.

  • Birnbaum, M.H. & Zimmermann, J.M. (1998). Buying and selling prices of investments: Configural weight model of interactions predicts violations of joint independence. Organizational Behavior and Human Decision Processes, 74, 145–187.

    Article  Google Scholar 

  • Chandler, J.P. (1969). STEPIT: Finds local minima of a smooth function of several parameters (CPA 312). Behavioral Science, 14, 81–82.

    Google Scholar 

  • Edwards, W. (1954). The theory of decision making. Psychological Bulletin, 51, 380–417.

    Google Scholar 

  • Humphrey, S.J. (1995). Regret aversion or event–splitting effects? More evidence under risk and uncertainty. Journal of Risk and Uncertainty, 11, 263–274.

    Google Scholar 

  • Karmarkar, U.S. (1978). Subjectively weighted utility: A descriptive extension of the expected utility model. Organizational Behavior and Human Performance, 21, 61–72.

    Article  Google Scholar 

  • Kahneman, D., Knetsch, J.L., & Thaler, R.H. (1991). Experimental tests of the endowment effect and the coarse theorem. In R.H. Thaler (Eds.), Quasi rational economics (pp. 167–188.). New York: Russel Sage Foundation.

    Google Scholar 

  • Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47, 263–291.

    Google Scholar 

  • Lattimore, P.K., Baker, J.R., & Witte, A.D. (1992). The influence of probability on risky choice. Journal of Economic Behavior and Organization, 17, 377–400.

    Article  Google Scholar 

  • Leland, J.W. (1994). Generalized similarity judgments: An alternative explanation for choice anomalies. Journal of Risk and Uncertainty, 9, 151–172.

    Google Scholar 

  • Lopes, L. (1990). Re–modeling risk aversion: A comparison of Bernoullian and rank dependent value approaches. In G.M. v. Furstenberg (Eds.), Acting under uncertainty (pp. 267–299). Boston: Kluwer.

    Google Scholar 

  • Luce, R.D. (1988). Rank–dependent, subjective expected–utility representations. Journal of Risk and Uncertainty, 1, 305–332.

    Google Scholar 

  • Luce, R.D. (1992). Where does subjective expected utility fail descriptively? Journal of Risk and Uncertainty, 5, 5–27.

    Google Scholar 

  • Luce, R.D. (1996). When four distinct ways to measure utility are the same. Journal of Mathematical Psychology, 40, 297–317.

    Article  Google Scholar 

  • Luce, R.D. (submitted). Coalescing, event commutatively, and theories of utility. Submitted for publication, 00, 000–000.

  • Luce, R.D., & Fishburn, P.C. (1991). Rank–and sign–dependent linear utility models for finite first order gambles. Journal of Risk and Uncertainty, 4, 29–59.

    Google Scholar 

  • Luce, R.D., & Fishburn, P.C. (1995). A note on deriving rank–dependent utility using additive joint receipts. Journal of Risk and Uncertainty, 11, 5–16.

    Google Scholar 

  • Luce, R.D., & von Winterfeldt, D. (1994). What common ground exists for descriptive, prescriptive, and normative utility theories? Management Science, 40(2), 263–279.

    Google Scholar 

  • Mellers, B.A., Weiss, R., & Birnbaum, M.H. (1992). Violations of dominance in pricing judgments. Journal of Risk and Uncertainty, 5, 73–90.

    Article  Google Scholar 

  • Quiggin, J. (1982). A theory of anticipated utility. Journal of Economic Behavior and Organization, 3, 324–345.

    Article  Google Scholar 

  • Quiggin, J. (1985). Subjective utility, anticipated utility, and the Allais paradox. Organizational Behavior and Human Decision Processes, 35, 94–101.

    Article  Google Scholar 

  • Savage, L.J. (1954). Historical and critical comments on utility. In L.J. Savage (Eds.), The foundations of statistics (pp. 91–104). New York: Wiley.

    Google Scholar 

  • Starmer, C., & Sugden, R. (1993). Testing for juxtaposition and event–splitting effects. Journal of Risk and Uncertainty, 6, 235–254.

    Google Scholar 

  • Stevenson, M.K., Busemeyer, J.R., & Naylor, J.C. (1991). Judgment and decision–making theory. In M. Dunnette & L.M. Hough (Eds.), New handbook of industrial–organizational psychology (pp. 283–374). Palo Alto, CA: Consulting Psychologist Press.

    Google Scholar 

  • Tversky, A., & Kahneman, D. (1986). Rational choice and the framing of decisions. Journal of Business, 59, S251–S278.

    Article  Google Scholar 

  • Tversky, A., & Kahneman, D. (1992). Advances in prospect theory: Cumulative representation of uncertainty. Journal of Risk and Uncertainty, 5, 297–323.

    Google Scholar 

  • Tversky, A., & Wakker, P. (1995). Risk attitudes and decision weights. Econometrica, 63, 1255–1280.

    Google Scholar 

  • Viscusi, K.W. (1989). Prospective reference theory: Toward an explanation of the paradoxes. Journal of Risk and Uncertainty, 2, 235–264.

    Article  Google Scholar 

  • Wakker, P. (1996). The sure–thing principle and the comonotonic sure–thing principle: An axiomatic analysis. Journal of Mathematical Economics, 25, 213–227.

    Article  Google Scholar 

  • Wakker, P., Erev, I., & Weber, E.U. (1994). Comonotonic independence: The critical test between classical and rank–dependent utility theories. Journal of Risk and Uncertainty, 9, 195–230.

    Google Scholar 

  • Wakker, P., & Tversky, A. (1993). An axiomatization of cumulative prospect theory. Journal of Risk and Uncertainty, 7, 147–176.

    Google Scholar 

  • Weber, E.U., & Kirsner, B. (1997). Reasons for rank–dependent utility evaluation. Journal of Risk and Uncertainty, 14, 41–61.

    Article  Google Scholar 

  • Wu, G. (1994). An empirical test of ordinal independence. Journal of Risk and Uncertainty, 9, 39–60.

    Google Scholar 

  • Wu, G., & Gonzalez, R. (1996). Curvature of the probability weighting function. Management Science, 42, 1676–1690.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Birnbaum, M.H., Navarrete, J.B. Testing Descriptive Utility Theories: Violations of Stochastic Dominance and Cumulative Independence. Journal of Risk and Uncertainty 17, 49–79 (1998). https://doi.org/10.1023/A:1007739200913

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1007739200913