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Do We Follow Others When We Should? A Simple Test of Rational Expectations: Comment

  • Anthony Ziegelmeyer
  • Christoph March
  • Sebastian Kr?gel

The payoff of actions is estimated and the resulting empirical payoff is controlled for in regression analyses to formulate a test of rational expectations in information cascade experiments. We show that the empirical payoff of actions is a function of estimates of choice probabilities and estimates of the information parameters of the game. We introduce an alternative empirical payoff of actions with true values of the information parameters. Our improved measure of the success of social learning confirms that rational expectations are violated, but deviations from rational expectations are statistically significantly smaller than in Weizsacher (2010).

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Article provided by American Economic Association in its journal American Economic Review.

Volume (Year): 103 (2013)
Issue (Month): 6 (October)
Pages: 2633-42

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Handle: RePEc:aea:aecrev:v:103:y:2013:i:6:p:2633-42
Note: DOI: 10.1257/aer.103.6.2633
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  1. Fahr, René & Irlenbusch, Bernd, 2011. "Who follows the crowd—Groups or individuals?," Journal of Economic Behavior & Organization, Elsevier, vol. 80(1), pages 200-209.
  2. Mathias Drehmann & Joerg Oechssler & Andreas Roider, 2002. "Herding and Contrarian Behavior in Financial Markets - An Internet Experiment," Experimental 0210001, EconWPA.
  3. Dorothea Kübler & Georg Weizs�cker, 2004. "Limited Depth of Reasoning and Failure of Cascade Formation in the Laboratory," Review of Economic Studies, Oxford University Press, vol. 71(2), pages 425-441.
  4. Weizsäcker, Georg, 2008. "Do We Follow Others When We Should? A Simple Test of Rational Expectations," IZA Discussion Papers 3616, Institute for the Study of Labor (IZA).
  5. Marco Cipriani & Antonio Guarino, 2005. "Herd Behavior in a Laboratory Financial Market," American Economic Review, American Economic Association, vol. 95(5), pages 1427-1443, December.
  6. Rosenthal, Robert W, 1989. "A Bounded-Rationality Approach to the Study of Noncooperative Games," International Journal of Game Theory, Springer, vol. 18(3), pages 273-91.
  7. John List & Jonathan Alevy & Michael Haigh, 2005. "Information cascades: Evidence from a field experiment with financial market professionals," Framed Field Experiments 00116, The Field Experiments Website.
  8. 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.
  9. Anthony Ziegelmeyer & Frédéric Koessler & Juergen Bracht & Eyal Winter, 2010. "Fragility of information cascades: an experimental study using elicited beliefs," Experimental Economics, Springer, vol. 13(2), pages 121-145, June.
  10. Plott, Charles & Hung, Angela, 1998. "Information Cascades: Replication and an Extension to Majority Rule and Conformity Rewarding Institutions," Working Papers 1051, California Institute of Technology, Division of the Humanities and Social Sciences.
  11. John Shea, 1997. "Instrument Relevance in Multivariate Linear Models: A Simple Measure," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 348-352, May.
  12. Richard Mckelvey & Thomas Palfrey, 1998. "Quantal Response Equilibria for Extensive Form Games," Experimental Economics, Springer, vol. 1(1), pages 9-41, June.
  13. Christoph March & Sebastian Krügel & Anthony Ziegelmeyer, 2012. "Do We Follow Private Information when We Should? Laboratory Evidence on Nave Herding," Jena Economic Research Papers 2012-002, Friedrich-Schiller-University Jena, Max-Planck-Institute of Economics.
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