IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-05c90006.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/pubs/EB/2005/Volume3/EB-05C90006A.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Markus Noth & Martin Weber, 2003. "Information Aggregation with Random Ordering: Cascades and Overconfidence," Economic Journal, Royal Economic Society, vol. 113(484), pages 166-189, January.
    2. 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.
    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. 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.
    5. 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.
    6. 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.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Filiz, Ibrahim & Nahmer, Thomas & Spiwoks, Markus, 2019. "Herd behavior and mood: An experimental study on the forecasting of share prices," Journal of Behavioral and Experimental Finance, Elsevier, vol. 24(C).
    2. Wu, Jiemai, 2015. "Helpful laymen in informational cascades," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 407-415.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:ebl:ecbull:v:3:y:2005:i:34:p:1-11 is not listed on IDEAS
    2. Cao, Qian & Li, Jianbiao & Niu, Xiaofei, 2019. "The role of overconfidence in overweighting private information: Does gender matter?," EconStor Preprints 203448, ZBW - Leibniz Information Centre for Economics.
    3. Grebe, Tim & Schmid, Julia & Stiehler, Andreas, 2008. "Do individuals recognize cascade behavior of others? - An experimental study," Journal of Economic Psychology, Elsevier, vol. 29(2), pages 197-209, April.
    4. Paul J. Healy & John Conlon & Yeochang Yoon, 2016. "Information Cascades with Informative Ratings: An Experimental Test," Working Papers 16-05, Ohio State University, Department of Economics.
    5. Filiz, Ibrahim & Nahmer, Thomas & Spiwoks, Markus, 2019. "Herd behavior and mood: An experimental study on the forecasting of share prices," Journal of Behavioral and Experimental Finance, Elsevier, vol. 24(C).
    6. Anthony Ziegelmeyer & Frédéric Koessler & Juergen Bracht & Eyal Winter, 2010. "Fragility of information cascades: an experimental study using elicited beliefs," Experimental Economics, Springer;Economic Science Association, vol. 13(2), pages 121-145, June.
    7. Georg Weizsacker, 2010. "Do We Follow Others When We Should? A Simple Test of Rational Expectations," American Economic Review, American Economic Association, vol. 100(5), pages 2340-2360, December.
    8. Puput Tri Komalasari & Marwan Asri & Bernardinus M. Purwanto & Bowo Setiyono, 2022. "Herding behaviour in the capital market: What do we know and what is next?," Management Review Quarterly, Springer, vol. 72(3), pages 745-787, September.
    9. Jonathan E. Alevy & Michael S. Haigh & John List, 2006. "Information Cascades: Evidence from An Experiment with Financial Market Professionals," NBER Working Papers 12767, National Bureau of Economic Research, Inc.
    10. Jacob K. Goeree & Thomas R. Palfrey & Brian W. Rogers & Richard D. McKelvey, 2007. "Self-Correcting Information Cascades," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(3), pages 733-762.
    11. Sebastian Berger & Christoph Feldhaus & Axel Ockenfels, 2018. "A shared identity promotes herding in an information cascade game," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 4(1), pages 63-72, July.
    12. Van Parys, Jessica & Ash, Elliott, 2018. "Sequential decision-making with group identity," Journal of Economic Psychology, Elsevier, vol. 69(C), pages 1-18.
    13. Shunichiro Sasaki, 2004. "Signal Qualities, Order of Decisions, and Informational Cascades: Experimental Evidences," ISER Discussion Paper 0621, Institute of Social and Economic Research, Osaka University.
    14. 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.
    15. Marco Cipriani & Antonio Guarino, 2009. "Herd Behavior in Financial Markets: An Experiment with Financial Market Professionals," Journal of the European Economic Association, MIT Press, vol. 7(1), pages 206-233, March.
    16. Mathias Drehmann & Jörg Oechssler & Andreas Roider, 2005. "Herding and Contrarian Behavior in Financial Markets: An Internet Experiment," American Economic Review, American Economic Association, vol. 95(5), pages 1403-1426, December.
    17. Markus Schöbel & Jörg Rieskamp & Rafael Huber, 2016. "Social Influences in Sequential Decision Making," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-23, January.
    18. Dorothea Kübler & Georg Weizsäcker, 2004. "Limited Depth of Reasoning and Failure of Cascade Formation in the Laboratory," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(2), pages 425-441.
    19. De Filippis, Roberta & Guarino, Antonio & Jehiel, Philippe & Kitagawa, Toru, 2022. "Non-Bayesian updating in a social learning experiment," Journal of Economic Theory, Elsevier, vol. 199(C).
    20. Asanov, Igor, 2021. "Bandit cascade: A test of observational learning in the bandit problem," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 150-171.
    21. Christophe Bisière & Jean-Paul Décamps & Stefano Lovo, 2015. "Risk Attitude, Beliefs Updating, and the Information Content of Trades: An Experiment," Management Science, INFORMS, vol. 61(6), pages 1378-1397, June.

    More about this item

    Keywords

    anchoring effect;

    JEL classification:

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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ebl:ecbull:eb-05c90006. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: John P. Conley (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.