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Experiencing simulated outcomes



Whereas much literature has documented difficulties in making probabilistic inferences, it has also emphasized the importance of task characteristics in determining judgmental accuracy. Noting that people exhibit remarkable efficiency in encoding frequency information sequentially, we construct tasks that exploit this ability by requiring people to experience the outcomes of sequentially simulated data. We report two experiments. The first involved seven well-known probabilistic inference tasks. Participants differed in statistical sophistication and answered with and without experience obtained through sequentially simulated outcomes in a design that permitted both between- and within-subject analyses. The second experiment involved interpreting the outcomes of a regression analysis when making inferences for investment decisions. In both experiments, even the statistically naïve make accurate probabilistic inferences after experiencing sequentially simulated outcomes and many prefer this presentation format. We conclude by discussing theoretical and practical implications.

Suggested Citation

  • Robin Hogarth & Emre Soyer, 2010. "Experiencing simulated outcomes," Economics Working Papers 1224, Department of Economics and Business, Universitat Pompeu Fabra.
  • Handle: RePEc:upf:upfgen:1224

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    References listed on IDEAS

    1. Jaume Ventura, 2002. "Bubbles and Capital Flows," NBER Working Papers 9304, National Bureau of Economic Research, Inc.
    2. Emmanuel Farhi & Ricardo Caballero & Pierre-Olivier Gourinchas, "undated". "Financial Crash, Commodity Prices and Global Imbalances," Working Paper 20933, Harvard University OpenScholar.
    3. Caballero, Ricardo J. & Krishnamurthy, Arvind, 2006. "Bubbles and capital flow volatility: Causes and risk management," Journal of Monetary Economics, Elsevier, vol. 53(1), pages 35-53, January.
    4. Alberto Martin & Jaume Ventura, 2012. "Economic Growth with Bubbles," American Economic Review, American Economic Association, vol. 102(6), pages 3033-3058, October.
    5. Gilles Saint-Paul, 1992. "Fiscal Policy in an Endogenous Growth Model," The Quarterly Journal of Economics, Oxford University Press, vol. 107(4), pages 1243-1259.
    6. Kiyotaki, Nobuhiro & Moore, John, 1997. "Credit Cycles," Journal of Political Economy, University of Chicago Press, vol. 105(2), pages 211-248, April.
    7. Paul A. Samuelson, 1958. "An Exact Consumption-Loan Model of Interest with or without the Social Contrivance of Money," Journal of Political Economy, University of Chicago Press, vol. 66, pages 467-467.
    8. Aart Kraay & Jaume Ventura, 2007. "The Dot-Com Bubble, the Bush Deficits, and the U.S. Current Account," NBER Chapters,in: G7 Current Account Imbalances: Sustainability and Adjustment, pages 457-496 National Bureau of Economic Research, Inc.
    9. Grossman, Gene M. & Yanagawa, Noriyuki, 1993. "Asset bubbles and endogenous growth," Journal of Monetary Economics, Elsevier, vol. 31(1), pages 3-19, February.
    10. Carlstrom, Charles T & Fuerst, Timothy S, 1997. "Agency Costs, Net Worth, and Business Fluctuations: A Computable General Equilibrium Analysis," American Economic Review, American Economic Association, vol. 87(5), pages 893-910, December.
    11. King, Ian & Ferguson, Don, 1993. "Dynamic inefficiency, endogenous growth, and Ponzi games," Journal of Monetary Economics, Elsevier, vol. 32(1), pages 79-104, August.
    12. Jesús Fernández-Villaverde & Lee Ohanian, 2010. "The Spanish Crisis from a Global Perspective," Working Papers 2010-03, FEDEA.
    13. Tirole, Jean, 1985. "Asset Bubbles and Overlapping Generations," Econometrica, Econometric Society, vol. 53(6), pages 1499-1528, November.
    14. Azariadis Costas & Smith Bruce D., 1993. "Adverse Selection in the Overlapping Generations Model: The Case of Pure Exchange," Journal of Economic Theory, Elsevier, vol. 60(2), pages 277-305, August.
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    More about this item


    probabilistic reasoning; natural frequencies; experiential sampling; simulation.; leex;

    JEL classification:

    • C00 - Mathematical and Quantitative Methods - - General - - - General
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

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