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Verbal and Behavioral Learning in a Probability Compounding Task

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  • Daniel Zizzo

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  • Daniel Zizzo, 2003. "Verbal and Behavioral Learning in a Probability Compounding Task," Theory and Decision, Springer, vol. 54(4), pages 287-314, June.
    • Handle: RePEc:kap:theord:v:54:y:2003:i:4:p:287-314
    DOI: 10.1023/B:THEO.0000004350.81892.1b
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    References listed on IDEAS

    as
    1. Zizzo, Daniel John & Stolarz-Fantino, Stephanie & Wen, Julie & Fantino, Edmund, 2000. "A violation of the monotonicity axiom: experimental evidence on the conjunction fallacy," Journal of Economic Behavior & Organization, Elsevier, vol. 41(3), pages 263-276, March.
    2. Daniel John Zizzo, 2002. "Probability Compounding in Words and in Practice," Economics Series Working Papers 88, University of Oxford, Department of Economics.
    3. Zizzo, D.J., 2001. "Choices Between Simple And Compound Lotteries: Experimental Evidence And Neural Network Modelling," Economics Series Working Papers 9957, University of Oxford, Department of Economics.
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    Citations

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    Cited by:

    1. Daniel John Zizzo & Piers Fleming, 2009. "Social desirability, approval and public good contribution," Working Paper series, University of East Anglia, Centre for Behavioural and Experimental Social Science (CBESS) 09-11, School of Economics, University of East Anglia, Norwich, UK..
    2. Stefania Sitzia & Jiwei Zheng & Daniel John Zizzo, 2012. "Complexity and Smart Nudges with Inattentive Consumers," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2012-13, Centre for Competition Policy, University of East Anglia, Norwich, UK..
    3. Stefania Sitzia & Jiwei Zheng & Daniel Zizzo, 2015. "Inattentive consumers in markets for services," Theory and Decision, Springer, vol. 79(2), pages 307-332, September.
    4. Daniel Zizzo, 2010. "Experimenter demand effects in economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 13(1), pages 75-98, March.
    5. David V. Budescu & Hsiu-Ting Yu, 2006. "To Bayes or Not to Bayes? A Comparison of Two Classes of Models of Information Aggregation," Decision Analysis, INFORMS, vol. 3(3), pages 145-162, September.

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