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

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  • Georg Weizsacker

Abstract

The paper presents a meta dataset covering 13 experiments on social learning games. It is found that in situations where it is empirically optimal to follow others and contradict one's own information, the players err in the majority of cases, forgoing substantial parts of earnings. The average player contradicts her own signal only if the empirical odds ratio of the own signal being wrong, conditional on all available information, is larger than 2:1, rather than 1:1 as would be implied by rational expectations. A regression analysis formulates a straightforward test of rational expectations which strongly rejects the null. (JEL D82, D83, D84)

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Bibliographic Info

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

Volume (Year): 100 (2010)
Issue (Month): 5 (December)
Pages: 2340-60

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Handle: RePEc:aea:aecrev:v:100:y:2010:i:5:p:2340-60

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  1. Goeree, Jacob & Palfrey, Thomas & Rogers, Brian & McKelvey, Richard, 2004. "Self-correcting Information Cascades," Working Papers 1197, California Institute of Technology, Division of the Humanities and Social Sciences.
  2. Kübler, Dorothea & Weizsäcker, Georg, 2000. "Limited depth of reasoning and failure of cascade formation in the laboratory," SFB 373 Discussion Papers 2001,3, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
  3. Marco Cipriani & Antonio Guarino, 2005. "Herd Behavior in a Laboratory Financial Market," Experimental 0502002, EconWPA.
  4. Jonathan Alevy & Michael Haigh & John List, 2005. "Information cascades: Evidence from a field experiment with financial market professionals," Framed Field Experiments 00116, The Field Experiments Website.
  5. Mathias Drehmann & J�rg 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.
  6. Syngjoo Choi & Douglas Gale & Shachar Kariv, 2005. "Learning in Networks: An Experimental Study," Levine's Bibliography 122247000000000044, UCLA Department of Economics.
  7. Hessel Oosterbeek & Randolph Sloof & Gijs van de Kuilen, 2004. "Cultural differences in ultimatum game experiments: Evidence from a meta-analysis," Experimental 0401003, EconWPA.
  8. Grebe, Tim & Schmid, Julia & Stiehler, Andreas, 2006. "Do individuals recognize cascade behavior of others? An Experimental Study," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 180, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
  9. Anderson, Lisa R & Holt, Charles A, 1997. "Information Cascades in the Laboratory," American Economic Review, American Economic Association, vol. 87(5), pages 847-62, December.
  10. Dorothea Kübler & Georg Weizsäcker, 2005. "Are Longer Cascades More Stable?," Journal of the European Economic Association, MIT Press, vol. 3(2-3), pages 330-339, 04/05.
  11. 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.
  12. Jacob K. Goeree & Charles A. Holt, 2000. "A Model of Noisy Introspection," Virginia Economics Online Papers 343, University of Virginia, Department of Economics.
  13. 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.
  14. 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.
  15. Steffen Huck & Hans-Theo Normann & Jörg Oechssler, 2001. "Two are Few and Four are Many: Number Effects in Experimental Oligopolies," Bonn Econ Discussion Papers bgse12_2001, University of Bonn, Germany.
  16. Anderson, Lisa R, 2001. "Payoff Effects in Information Cascade Experiments," Economic Inquiry, Western Economic Association International, vol. 39(4), pages 609-15, October.
  17. Guarino, Antonio & Harmgart, Heike & Huck, Steffen, 2011. "Aggregate information cascades," Games and Economic Behavior, Elsevier, vol. 73(1), pages 167-185, September.
  18. Jennifer Zelmer, 2003. "Linear Public Goods Experiments: A Meta-Analysis," Experimental Economics, Springer, vol. 6(3), pages 299-310, November.
  19. 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.
  20. Fahr, René & Irlenbusch, Bernd, 2011. "Who follows the crowd—Groups or individuals?," Journal of Economic Behavior & Organization, Elsevier, vol. 80(1), pages 200-209.
  21. Georg Weizsäcker, 2003. "Ignoring the rationality of others: evidence from experimental normal-form games," LSE Research Online Documents on Economics 507, London School of Economics and Political Science, LSE Library.
  22. 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.
  23. Dorothea K¸bler & Georg Weizs”cker, 2004. "Limited Depth of Reasoning and Failure of Cascade Formation in the Laboratory," Review of Economic Studies, Wiley Blackwell, vol. 71(2), pages 425-441, 04.
  24. Harless, David W & Camerer, Colin F, 1994. "The Predictive Utility of Generalized Expected Utility Theories," Econometrica, Econometric Society, vol. 62(6), pages 1251-89, November.
  25. 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.
  26. 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.
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  1. Repubblica e il vincolismo
    by Alberto Bagnai in Goofynomics on 2012-06-16 20:49:00
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