IDEAS home Printed from https://ideas.repec.org/p/zbw/vfsc13/79900.html
   My bibliography  Save this paper

Correlation Neglect in Belief Formation

Author

Listed:
  • Enke, Benjamin
  • Zimmermann, Florian

Abstract

A frequent feature of information structures is that they generate signals which are not mutually independent, but rather rely on a common set of underlying information. Using a simple experimental design, we show that in such contexts many people neglect correlations in the updating process, leading to systematically "overshooting" beliefs. This finding lends direct support to recent models of boundedly rational learning in social networks. In an experimental market setting, correlation neglect not only drives overoptimism and overpessimism at the individual level, but also affects aggregate outcomes in a systematic manner. In particular, the excessive confidence swings produced by correlated information structures translate into predictable price bubbles and crashes. Finally, we show the robustness of correlation neglect in a naturally occurring informational environment, in which subjects predict GDP growth on the basis of real news reports.

Suggested Citation

  • Enke, Benjamin & Zimmermann, Florian, 2013. "Correlation Neglect in Belief Formation," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79900, Verein für Socialpolitik / German Economic Association.
  • Handle: RePEc:zbw:vfsc13:79900
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/79900/1/VfS_2013_pid_116.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Oechssler, Jörg & Roider, Andreas & Schmitz, Patrick W., 2009. "Cognitive abilities and behavioral biases," Journal of Economic Behavior & Organization, Elsevier, vol. 72(1), pages 147-152, October.
    2. Ananda Ganguly & John Kagel & Donald Moser, 2000. "Do Asset Market Prices Reflect Traders' Judgment Biases?," Journal of Risk and Uncertainty, Springer, vol. 20(3), pages 219-245, May.
    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. Corazzini, Luca & Pavesi, Filippo & Petrovich, Beatrice & Stanca, Luca, 2012. "Influential listeners: An experiment on persuasion bias in social networks," European Economic Review, Elsevier, vol. 56(6), pages 1276-1288.
    5. George A. Akerlof, 2009. "How Human Psychology Drives the Economy and Why It Matters," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(5), pages 1175-1175.
    6. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2012. "Salience Theory of Choice Under Risk," The Quarterly Journal of Economics, Oxford University Press, vol. 127(3), pages 1243-1285.
    7. repec:kap:expeco:v:1:y:1998:i:1:p:43-62 is not listed on IDEAS
    8. Brian D. Kluger & Steve B. Wyatt, 2004. "Are Judgment Errors Reflected in Market Prices and Allocations? Experimental Evidence Based on the Monty Hall Problem," Journal of Finance, American Finance Association, vol. 59(3), pages 969-998, June.
    9. Reinhard Selten, 1998. "Axiomatic Characterization of the Quadratic Scoring Rule," Experimental Economics, Springer;Economic Science Association, vol. 1(1), pages 43-61, June.
    10. Uri Gneezy & Arie Kapteyn & Jan Potters, 2003. "Evaluation Periods and Asset Prices in a Market Experiment," Journal of Finance, American Finance Association, vol. 58(2), pages 821-838, April.
    11. 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.
    12. Smith, Vernon L & Suchanek, Gerry L & Williams, Arlington W, 1988. "Bubbles, Crashes, and Endogenous Expectations in Experimental Spot Asset Markets," Econometrica, Econometric Society, vol. 56(5), pages 1119-1151, September.
    13. 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.
    Full references (including those not matched with items on IDEAS)

    More about this item

    JEL classification:

    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zbw:vfsc13:79900. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (ZBW - Leibniz Information Centre for Economics). General contact details of provider: http://edirc.repec.org/data/vfsocea.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.