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Information at a Cost: A Lab Experiment

Author

Listed:
  • Pedro Robalo

    (University of Amsterdam)

  • Rei S. Sayag

    (Erasmus University Rotterdam)

Abstract

The supposed irrelevance of historical costs for rational decision making has been the subject of much interest in the economic literature. In this paper we explore whether individual decision making under risk is affected by the cost of the supplied information. Outside of the lab, it is difficult to disentangle the effect of the cost of information itself from the effect of self-selection by individuals who tend to gain the most from this information. We thus create an environment in the lab where subjects are offered additional, useful and identical information on the state of the world across treatments. By varying the cost of information we can distinguish between selection and sunk cost effects. We find a systematic effect of sunk costs on the manner in which subjects update their beliefs on the state of the world. Subjects over-weigh costly information relatively to free information, which results in a 'push' of beliefs towards the extremes. This shift does not necessarily lead to behavior more attuned with Bayesian updating.

Suggested Citation

  • Pedro Robalo & Rei S. Sayag, 2012. "Information at a Cost: A Lab Experiment," Tinbergen Institute Discussion Papers 12-143/VII, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:20120143
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    References listed on IDEAS

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    1. Camerer, Colin F. & Weber, Roberto A., 1999. "The econometrics and behavioral economics of escalation of commitment: a re-examination of Staw and Hoang's NBA data," Journal of Economic Behavior & Organization, Elsevier, vol. 39(1), pages 59-82, May.
    2. Stefano DellaVigna, 2009. "Psychology and Economics: Evidence from the Field," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 315-372, June.
    3. Gary Charness & Uri Gneezy, 2010. "Portfolio Choice And Risk Attitudes: An Experiment," Economic Inquiry, Western Economic Association International, vol. 48(1), pages 133-146, January.
    4. David M. Grether, 1980. "Bayes Rule as a Descriptive Model: The Representativeness Heuristic," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 95(3), pages 537-557.
    5. Grether, David M., 1992. "Testing bayes rule and the representativeness heuristic: Some experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 17(1), pages 31-57, January.
    6. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    7. Nava Ashraf & James Berry & Jesse M. Shapiro, 2010. "Can Higher Prices Stimulate Product Use? Evidence from a Field Experiment in Zambia," American Economic Review, American Economic Association, vol. 100(5), pages 2383-2413, December.
    8. Uri Gneezy & Jan Potters, 1997. "An Experiment on Risk Taking and Evaluation Periods," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 631-645.
    9. Daniel Friedman & Kai Pommerenke & Rajan Lukose & Garrett Milam & Bernardo Huberman, 2007. "Searching for the sunk cost fallacy," Experimental Economics, Springer;Economic Science Association, vol. 10(1), pages 79-104, March.
    10. Dan Ariely & Uri Gneezy & George Loewenstein & Nina Mazar, 2009. "Large Stakes and Big Mistakes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(2), pages 451-469.
    11. Jessica Cohen & Pascaline Dupas, 2008. "Free Distribution or Cost-Sharing? Evidence from a Malaria Prevention Experiment," NBER Working Papers 14406, National Bureau of Economic Research, Inc.
    12. Theo Offerman & Joep Sonnemans & Gijs Van De Kuilen & Peter P. Wakker, 2009. "A Truth Serum for Non-Bayesians: Correcting Proper Scoring Rules for Risk Attitudes ," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(4), pages 1461-1489.
    13. Theo Offerman & Jan Potters, 2006. "Does Auctioning of Entry Licences Induce Collusion? An Experimental Study," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 73(3), pages 769-791.
    14. Camerer, Colin F, 1987. "Do Biases in Probability Judgment Matter in Markets? Experimental Evidence," American Economic Review, American Economic Association, vol. 77(5), pages 981-997, December.
    15. Borland, Jeff & Lee, Leng & Macdonald, Robert D., 2011. "Escalation effects and the player draft in the AFL," Labour Economics, Elsevier, vol. 18(3), pages 371-380, June.
    16. Gino, Francesca, 2008. "Do we listen to advice just because we paid for it? The impact of advice cost on its use," Organizational Behavior and Human Decision Processes, Elsevier, vol. 107(2), pages 234-245, November.
    17. Jessica Cohen & Pascaline Dupas, 2010. "Free Distribution or Cost-Sharing? Evidence from a Randomized Malaria Prevention Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 1-45.
    18. Eger, C & Dickhaut, J, 1982. "An Examination Of The Conservative Information-Processing Bias In An Accounting Framework," Journal of Accounting Research, Wiley Blackwell, vol. 20(2), pages 711-723.
    19. Arkes, Hal R. & Blumer, Catherine, 1985. "The psychology of sunk cost," Organizational Behavior and Human Decision Processes, Elsevier, vol. 35(1), pages 124-140, February.
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    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Against evidence-based policy
      by chris dillow in Stumbling and Mumbling on 2014-10-31 18:19:33

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    More about this item

    Keywords

    sunk cost; information; Bayesian updating; decision under risk; heuristics and biases; lab experiment;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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