IDEAS home Printed from https://ideas.repec.org/p/dpr/wpaper/0621.html
   My bibliography  Save this paper

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

Author

Listed:
  • Shunichiro Sasaki

Abstract

This paper reports the results of informational cascades experiments where two different decision-making systems, anti-seniority and seniority are investigated. By implementing heterogeneous signal qualities associated with the fixed order of decisions I compare the property of each system and examine heuristics human subjects use. Major findings are the following: (1) complete cascades occur more frequently in seniority than in anti-seniority, (2) seniority is more efficient than anti-seniority, but it increases the risk for creating negative cascades, (3) for both systems, rational complete cascades occur less frequently than those which the Bayesian theory predicts, (4) subjects in seniority put equal weight on private signals and on predecessors' predictions whereas those who in anti-seniority put more weight on private signals than on predecessors' predictions, (5) by analyzing deviations from Bayesian posteriors, both overconfidence and underconfidence are identified, and (6) the anchoring effect is verified in deviations by overconfidence, but is not verified in deviations by underconfidence.

Suggested Citation

  • 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.
  • Handle: RePEc:dpr:wpaper:0621
    as

    Download full text from publisher

    File URL: https://www.iser.osaka-u.ac.jp/library/dp/2004/DP0621.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. Angela A. Hung & Charles R. Plott, 2001. "Information Cascades: Replication and an Extension to Majority Rule and Conformity-Rewarding Institutions," American Economic Review, American Economic Association, vol. 91(5), pages 1508-1520, December.
    3. 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.
    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. 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. 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.
    7. 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.
    8. Oberhammer, Clemens & Stiehler, Andreas, 2001. "Does cascade behavior in information cascades reflect Bayesian updating? An experimental study," SFB 373 Discussion Papers 2001,32, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    9. Clemens Oberhammer & Andreas Stiehler, "undated". "Does Cascade Behavior Reflect Bayesian Updating? –An Experimental Study--," Papers on Strategic Interaction 2003-01, Max Planck Institute of Economics, Strategic Interaction Group.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. 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.
    3. 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).
    4. 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.
    5. Lukas Meub & Till Proeger & Hendrik Hüning, 2017. "A comparison of endogenous and exogenous timing in a social learning experiment," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(1), pages 143-166, April.
    6. 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.
    7. repec:ebl:ecbull:v:3:y:2005:i:34:p:1-11 is not listed on IDEAS
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Drehmann, Mathias & Oechssler, Jorg & Roider, Andreas, 2007. "Herding with and without payoff externalities -- an internet experiment," International Journal of Industrial Organization, Elsevier, vol. 25(2), pages 391-415, April.
    14. 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.
    15. 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.
    16. Van Parys, Jessica & Ash, Elliott, 2018. "Sequential decision-making with group identity," Journal of Economic Psychology, Elsevier, vol. 69(C), pages 1-18.
    17. Dominitz, Jeff & Hung, Angela A., 2009. "Empirical models of discrete choice and belief updating in observational learning experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 69(2), pages 94-109, February.
    18. Shunichiro Sasaki, 2005. "Signal Qualities, Order of Decisions, and Informational Cascades: Experimental Evidence," Economics Bulletin, AccessEcon, vol. 3(34), pages 1-11.
    19. 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.
    20. Roe, Brian E. & Teisl, Mario F., 2004. "Consumption Externalities, Information Policies, And Multiple Equilibria: Evidence For Genetically Engineered Food Markets," 2004 Annual meeting, August 1-4, Denver, CO 20243, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    21. Shunichiro Sasaki & Toshiji Kawagoe, 2006. "Can You Believe Your Neighbors' Behaviors?," Economics Bulletin, AccessEcon, vol. 3(11), pages 1-11.

    More about this item

    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:dpr:wpaper:0621. 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: Librarian (email available below). General contact details of provider: https://edirc.repec.org/data/isosujp.html .

    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.