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Disentangling two causes of biased probability judgment: Cognitive skills and perception of randomness

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  • Duttle, Kai

Abstract

This experimental study investigates the interaction of two influential factors of biased probability judgments. Results provide new insights on the preconditions for an application of either the gambler's fallacy or its exact opponent, the hot hand fallacy. The first factor is cognitive ability, measured in a cognitive reflection test. The second one is the level of perceived randomness in the observed outcomes. Probability judgments are found to vary significantly across salience of randomness treatments as well as across subgroups with high or low cognitive abilities. Like in previous research, subjects with higher cognitive skills are more likely to engage the gambler's fallacy, yet only if perception of sequential randomness is low. In a setting where randomness is very salient the exact opposite can be observed. Similarly surprising insights are revealed when controlling for cognitive abilities in the analysis of salience treatments. Past results are only confirmed for a subgroup with lower cognitive skills, while their peers' beliefs are completely opposite.

Suggested Citation

  • Duttle, Kai, 2015. "Disentangling two causes of biased probability judgment: Cognitive skills and perception of randomness," Ruhr Economic Papers 568, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
  • Handle: RePEc:zbw:rwirep:568
    DOI: 10.4419/86788654
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    References listed on IDEAS

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    1. Theo Offerman & Joep Sonnemans, 2004. "What’s Causing Overreaction? An Experimental Investigation of Recency and the Hot‐hand Effect," Scandinavian Journal of Economics, Wiley Blackwell, vol. 106(3), pages 533-554, October.
    2. Oechssler, Jörg & Roider, Andreas & Schmitz, Patrick W., 2009. "Cognitive abilities and behavioral biases," Journal of Economic Behavior & Organization, Elsevier, vol. 72(1), pages 147-152, October.
    3. Hoppe, Eva I. & Kusterer, David J., 2011. "Behavioral biases and cognitive reflection," Economics Letters, Elsevier, vol. 110(2), pages 97-100, February.
    4. Matthew Rabin, 2002. "Inference by Believers in the Law of Small Numbers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(3), pages 775-816.
    5. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
    6. Shane Frederick, 2005. "Cognitive Reflection and Decision Making," Journal of Economic Perspectives, American Economic Association, vol. 19(4), pages 25-42, Fall.
    7. Jürgen Huber & Michael Kirchler & Thomas Stöckl, 2010. "The hot hand belief and the gambler’s fallacy in investment decisions under risk," Theory and Decision, Springer, vol. 68(4), pages 445-462, April.
    8. Elena Asparouhova & Michael Hertzel & Michael Lemmon, 2009. "Inference from Streaks in Random Outcomes: Experimental Evidence on Beliefs in Regime Shifting and the Law of Small Numbers," Management Science, INFORMS, vol. 55(11), pages 1766-1782, November.
    9. Suetens, Sigrid & Tyran, Jean-Robert, 2012. "The gambler's fallacy and gender," Journal of Economic Behavior & Organization, Elsevier, vol. 83(1), pages 118-124.
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    Cited by:

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    2. Shashank Kathpal & Asif Akhtar & Asma Zaheer & Mohd Naved Khan, 2021. "Covid-19 and heuristic biases: evidence from India," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 26(4), pages 305-316, December.

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    More about this item

    Keywords

    law of small numbers; gambler's fallacy; hot hand effect; cognitive reflection test;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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