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Signal Qualities, Order of Decisions, and Informational Cascades: Experimental Evidence

Author

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  • Shunichiro Sasaki

    () (Institute of Social and Economic Research, Osaka University)

Abstract

This experimental study investigates the effect of signal strength on the formation of informational cascades by introducing heterogeneous signal qualities associated with the fixed order of decisions on the two different decision-making systems, anti-seniority and seniority. Major findings include that complete cascades occur more frequently in seniority than in anti-seniority, that seniority is more efficient than anti-seniority, but increases the risk of creating negative cascades, and that private signals can be extracted more effectively in anti-seniority than in seniority. For both treatments, rational complete cascades occur less frequently than those suggested by the Bayesian model. For the heuristic subjects employed, the anchoring effect of private signals is partially identified.

Suggested Citation

  • Shunichiro Sasaki, 2005. "Signal Qualities, Order of Decisions, and Informational Cascades: Experimental Evidence," Economics Bulletin, AccessEcon, vol. 3(34), pages 1-11.
  • Handle: RePEc:ebl:ecbull:eb-05c90006
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    References listed on IDEAS

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    1. Huck, Steffen & Oechssler, Jorg, 2000. "Informational cascades in the laboratory: Do they occur for the right reasons?," Journal of Economic Psychology, Elsevier, vol. 21(6), pages 661-671, December.
    2. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    3. Bogaçhan Çelen & Shachar Kariv, 2004. "Distinguishing Informational Cascades from Herd Behavior in the Laboratory," American Economic Review, American Economic Association, vol. 94(3), pages 484-498, June.
    4. Anderson, Lisa R & Holt, Charles A, 1997. "Information Cascades in the Laboratory," American Economic Review, American Economic Association, vol. 87(5), pages 847-862, December.
    5. Ottaviani, Marco & Sorensen, Peter, 2001. "Information aggregation in debate: who should speak first?," Journal of Public Economics, Elsevier, vol. 81(3), pages 393-421, September.
    6. Kraemer, Carlo & Noth, Markus & Weber, Martin, 2006. "Information aggregation with costly information and random ordering: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 59(3), pages 423-432, March.
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    Cited by:

    1. Wu, Jiemai, 2015. "Helpful laymen in informational cascades," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 407-415.

    More about this item

    Keywords

    anchoring effect;

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

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