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Optimize, satisfice, or choose without deliberation? A simple minimax-regret assessment

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Abstract

Simon (Q J Econ 69:99–118, 1955) introduced satisficing, but he did not provide a precise definition or analysis. Other researchers have subsequently interpreted satisficing in various ways, but a consensus perspective still has not emerged. This paper interprets satisficing as a class of decision strategies that a person might use when seeking to optimize in a setting where deliberation is costly. Costly deliberation lies at the heart of Simon’s motivation of satisficing, but he did not formalize the idea. I do so here, studying decision making as a problem of minimax-regret planning in which costly deliberation enables a person to reduce ambiguity. I report simple specific findings on how the magnitude of deliberation costs may affect choice of a decision strategy.

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References

  • Bearden, N., & Connolly, T. (2007). Multi-attribute sequential search. Organizational Behavior and Human Decision Processes, 103, 147–158.

    Article  Google Scholar 

  • Berger, J. (1985). Statistical decision theory and Bayesian analysis (2nd ed.). New York: Springer.

    Book  Google Scholar 

  • Binmore, K. (2009). Rational decisions. Princeton: Princeton University Press.

    Google Scholar 

  • Caplin, A., Dean, M., & Martin, D. (2011). Search and satisficing. American Economic Review, 101, 2899–2922.

    Article  Google Scholar 

  • Chernoff, H. (1954). Rational selection of decision functions. Econometrica, 22, 422–443.

    Article  Google Scholar 

  • Conlisk, J. (1996). Why bounded rationality? Journal of Economic Literature, 34, 669–700.

    Google Scholar 

  • Day, R., & Tinney, H. (1968). How to co-operate in business without really trying: A learning model of decentralized decision making. Journal of Political Economy, 76, 583–600.

    Article  Google Scholar 

  • DeGroot, M. (1970). Optimal statistical decisions. New York: Wiley.

    Google Scholar 

  • Diecidue, E., & van Der Ven, J. (2008). Aspiration level, probability of success and failure, and expected utility. International Economic Review, 49, 683–700.

    Article  Google Scholar 

  • Ellsberg, D. (1961). Risk, ambiguity, and the Savage axioms. Quarterly Journal of Economics, 75, 643–669.

    Article  Google Scholar 

  • Hey, J., & Lotito, G. (2009). Naive, resolute or sophisticated? A study of dynamic decision making. Journal of Risk and Uncertainty, 38, 1–25.

    Article  Google Scholar 

  • Kiefer, J. (1953). Sequential minimax search for a maximum. Proceedings of the American Mathematical Society, 4, 502–506.

    Article  Google Scholar 

  • Lippman, S., & McCall, J. (1976). The economics of job search: A survey. Economic Inquiry, 14, 155–189.

    Article  Google Scholar 

  • Manski, C. (1981). Learning and decision making when subjective probabilities have subjective domains. Annals of Statistics, 9, 59–65.

    Article  Google Scholar 

  • Manski, C. (2004). Statistical treatment rules for heterogeneous populations. Econometrica, 72, 1221–1246.

    Article  Google Scholar 

  • Manski, C. (2009). Diversified treatment under ambiguity. International Economic Review, 50, 1013–1041.

    Article  Google Scholar 

  • Manski, C. (2011). Actualist rationality. Theory and Decision, 71, 195–210.

    Article  Google Scholar 

  • Papi, M. (2012). Satisficing choice procedures. Journal of Economic Behavior and Organization, 84, 451–462.

    Article  Google Scholar 

  • Parmigiani, G. (1992). Minimax, Information, and Ultrapessimism. Theory and Decision, 33, 241–252.

    Article  Google Scholar 

  • Radner, R. (1975). Satisficing. Journal of Mathematical Economics, 2, 253–262.

    Article  Google Scholar 

  • Reutskaja, E., Nagel, R., Camerer, C., & Rangel, A. (2011). Search dynamics in consumer choice under time pressure: An eye-tracking study. American Economic Review, 101, 900–926.

    Article  Google Scholar 

  • Savage, L. (1951). The theory of statistical decision. Journal of the American Statistical Association, 46, 55–67.

    Article  Google Scholar 

  • Savage, L. (1954). The foundations of statistics. New York: Wiley.

    Google Scholar 

  • Savage, L. (1967). Difficulties in the theory of personal probability. Philosophy of Science, 34, 305–310.

    Article  Google Scholar 

  • Seidenfeld, T., Schervish, M., & Kadane, J. (2012). What kind of uncertainty is that? Using personal probability for expressing one’s thinking about logical and mathematical propositions. The Journal of Philosophy, 109, 516–533.

    Article  Google Scholar 

  • Sen, A. (1993). Internal consistency of choice. Econometrica, 61, 495–521.

    Article  Google Scholar 

  • Simon, H. (1955). A behavioral model of rational choice. Quarterly Journal of Economics, 69, 99–118.

    Article  Google Scholar 

  • Simon, H. (1956). Rational choice and the structure of the environment. Psychological Review, 63, 129–138.

    Article  Google Scholar 

  • Simon, H. (1987). Satisficing. In J. Eatwell, M. Milgate & P. Newman (Eds.),The new Palgrave: A dictionary of economics (1st ed.). London: Palgrave Macmillan. The New Palgrave Dictionary of Economics Online. http://www.dictionaryofeconomics.com/article?id=pde1987_X001937. Accessed August 01, 2015.

  • Stoye, J. (2012). Minimax regret treatment choice with covariates or with limited validity of experiments. Journal of Econometrics, 166, 138–156.

    Article  Google Scholar 

  • Tierney, L., & Kadane, J. (1986). Accurate approximations for posterior moments and marginal densities. Journal of the American Statistical Association, 81, 82–86.

    Article  Google Scholar 

  • Tyson, C. (2008). Cognitive constraints, contraction consistency, and the satisficing criterion. Journal of Economic Theory, 138, 51–70.

    Article  Google Scholar 

  • Wald, A. (1945). Statistical decision functions which minimize the maximum risk. Annals of Mathematics, 46, 265–280.

    Article  Google Scholar 

  • Wald, A. (1947). An essentially complete class of admissible decision functions. Annals of Mathematical Statistics, 18, 549–555.

    Article  Google Scholar 

  • Wald, A. (1950). Statistical decision functions. New York: Wiley.

    Google Scholar 

  • Winter, S. (1971). Satisficing, selection, and the innovating remnant. Quarterly Journal of Economics, 85, 237–261.

    Article  Google Scholar 

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Acknowledgements

I have benefitted from the comments of John Hey, Jörg Stoye, Max Tabord-Meehan, Alex Tetenov, and three reviewers.

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Correspondence to Charles F. Manski.

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Manski, C.F. Optimize, satisfice, or choose without deliberation? A simple minimax-regret assessment. Theory Decis 83, 155–173 (2017). https://doi.org/10.1007/s11238-017-9592-1

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  • DOI: https://doi.org/10.1007/s11238-017-9592-1

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