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Correlation neglect and case-based decisions

Author

Listed:
  • Benjamin Radoc

    (Ateneo de Manila University)

  • Robert Sugden

    (University of East Anglia)

  • Theodore L. Turocy

    (University of East Anglia)

Abstract

We test the conjecture that case-based reasoning may be used, not only when state spaces are undefined, but also when relevant probabilities can be derived by Bayesian inference from observations of random processes. Our experiment elicits participants' valuations of a lottery after observing realisations of this and another lottery. Depending on the treatment, participants know that the two lotteries are independent, positively correlated, or negatively correlated. We find no evidence of correlation neglect indicative of case-based reasoning. However, in the negative correlation treatment, valuations cannot be explained by Bayesian reasoning, while stated qualitative judgements about chances of winning can.

Suggested Citation

  • Benjamin Radoc & Robert Sugden & Theodore L. Turocy, 2017. "Correlation neglect and case-based decisions," Working Paper series, University of East Anglia, Centre for Behavioural and Experimental Social Science (CBESS) 17-11, School of Economics, University of East Anglia, Norwich, UK..
  • Handle: RePEc:uea:wcbess:17-11
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    References listed on IDEAS

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    11. Han Bleichrodt & Martin Filko & Amit Kothiyal & Peter P. Wakker, 2017. "Making Case-Based Decision Theory Directly Observable," American Economic Journal: Microeconomics, American Economic Association, vol. 9(1), pages 123-151, February.
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    Cited by:

    1. Todd Guilfoos & Andreas Duus Pape, 2020. "Estimating Case-Based Learning," Games, MDPI, vol. 11(3), pages 1-25, September.
    2. Benjamin Radoc, 2020. "Bandit with similarity information," Department of Economics, Ateneo de Manila University, Working Paper Series 202002, Department of Economics, Ateneo de Manila University.

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    More about this item

    Keywords

    case-based decision; correlation; experiment;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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