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The predominant role of signals’ precision in experimental beauty contest

Author

Listed:
  • Camille Cornand

    (GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - ENS de Lyon - École normale supérieure de Lyon - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - UJM - Université Jean Monnet - Saint-Étienne - CNRS - Centre National de la Recherche Scientifique)

  • Romain Baeriswyl

    (Swiss National Bank - Swiss National Bank)

Abstract

The weight assigned to public information in Keynesian beauty contest depends on the signal precision and on the degree of strategic complementarities. This experimental study shows that the response of subjects to changes in the signal precision and in the degree of strategic complementarities is qualitatively consistent with theoretical predictions, though quantitatively weaker. The weaker subjects' response to changes in the signal precision, however, mainly drives the weight observed in the experiment, making strategic complementarities and overreaction an issue of second order.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Camille Cornand & Romain Baeriswyl, 2016. "The predominant role of signals’ precision in experimental beauty contest," Post-Print halshs-01303673, HAL.
  • Handle: RePEc:hal:journl:halshs-01303673
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    References listed on IDEAS

    as
    1. Camille Cornand & Frank Heinemann, 2014. "Measuring agents’ reaction to private and public information in games with strategic complementarities," Experimental Economics, Springer;Economic Science Association, vol. 17(1), pages 61-77, March.
    2. Jeffery D. Amato & Stephen Morris & Hyun Song Shin, 2002. "Communication and Monetary Policy," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 18(4), pages 495-503.
    3. Frank Heinemann & Rosemarie Nagel & Peter Ockenfels, 2009. "Measuring Strategic Uncertainty in Coordination Games," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(1), pages 181-221.
    4. George-Marios Angeletos & Alessandro Pavan, 2004. "Transparency of Information and Coordination in Economies with Investment Complementarities," American Economic Review, American Economic Association, vol. 94(2), pages 91-98, May.
    5. Romain Baeriswyl & Camille Cornand, 2014. "Reducing Overreaction To Central Banks' Disclosures: Theory And Experiment," Journal of the European Economic Association, European Economic Association, vol. 12(4), pages 1087-1126, August.
    6. Simone Alfarano & Andrea Morone & Eva Camacho, 2011. "The role of public and private information in a laboratory financial market," Working Papers. Serie AD 2011-06, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    7. Antonio Cabrales & Rosemarie Nagel & Roc Armenter, 2007. "Equilibrium selection through incomplete information in coordination games: an experimental study," Experimental Economics, Springer;Economic Science Association, vol. 10(3), pages 221-234, September.
    8. Nagel, Rosemarie, 1995. "Unraveling in Guessing Games: An Experimental Study," American Economic Review, American Economic Association, vol. 85(5), pages 1313-1326, December.
    9. Baeriswyl, Romain & Cornand, Camille, 2010. "The signaling role of policy actions," Journal of Monetary Economics, Elsevier, vol. 57(6), pages 682-695, September.
    10. 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.
    11. Christian Hellwig & Laura Veldkamp, 2009. "Knowing What Others Know: Coordination Motives in Information Acquisition," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(1), pages 223-251.
    12. Menno Middeldorp & Stephanie Rosenkranz, 2011. "Central bank transparency and the crowding out of private information in an experimental asset market," Staff Reports 487, Federal Reserve Bank of New York.
    13. Stephen Morris & Hyun Song Shin, 2002. "Social Value of Public Information," American Economic Review, American Economic Association, vol. 92(5), pages 1521-1534, December.
    14. Frank Heinemann & Rosemarie Nagel & Peter Ockenfels, 2004. "The Theory of Global Games on Test: Experimental Analysis of Coordination Games with Public and Private Information," Econometrica, Econometric Society, vol. 72(5), pages 1583-1599, September.
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    Cited by:

    1. Ruiz-Buforn, Alba & Camacho-Cuena, Eva & Morone, Andrea & Alfarano, Simone, 2021. "Overweighting of public information in financial markets: A lesson from the lab," Journal of Banking & Finance, Elsevier, vol. 133(C).
    2. Trabelsi, Emna & Hichri, Walid, 2021. "Central Bank Transparency with (semi-)public Information: Laboratory Experiments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 90(C).
    3. Alba Ruiz-Buforn & Simone Alfarano & Eva Camacho-Cuena & Andrea Morone, 2022. "Single vs. multiple disclosures in an experimental asset market with information acquisition," The European Journal of Finance, Taylor & Francis Journals, vol. 28(13-15), pages 1513-1539, October.
    4. Camille Cornand & Frank Heinemann, 2018. "Experiments on macroeconomics: methods and applications," Working Papers 1810, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    5. Kene Boun My & Camille Cornand & Rodolphe Dos Santos Ferreira, 2017. "Speculation rather than enterprise? Keynes’ beauty contest revisited in theory and experiment," Working Papers of BETA 2017-13, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    6. Boun My, Kene & Cornand, Camille & Dos Santos Ferreira, Rodolphe, 2021. "Public information and the concern for coordination," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 93(C).
    7. Helland, Leif & Iachan, Felipe S. & Juelsrud, Ragnar E. & Nenov, Plamen T., 2021. "Information quality and regime change: Evidence from the lab," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 538-554.
    8. Thomas Lustenberger & Enzo Rossi, 2022. "The Social Value of Information: A Test of a Beauty and Nonbeauty Contest," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(7), pages 2125-2148, October.
    9. Caylor, Marcus & Hong, Duanping & Park, Hyungshin & Qu, Hong, 2023. "Do analysts anchor on public signals in forecasting the target price of disruptive technology firms?," Economics Letters, Elsevier, vol. 228(C).
    10. Isabel Trevino, 2020. "Informational Channels of Financial Contagion," Econometrica, Econometric Society, vol. 88(1), pages 297-335, January.
    11. Kene Boun My & Camille Cornand & Rodolphe dos Santos Ferreira, 2017. "Public information and the concern for coordination," Working Papers halshs-01485677, HAL.
    12. Camille Cornand & Frank Heinemann, 2018. "Experiments on macroeconomics: methods and applications," Working Papers halshs-01809937, HAL.
    13. Rholes, Ryan & Petersen, Luba, 2021. "Should central banks communicate uncertainty in their projections?," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 320-341.
    14. Ruiz-Buforn, Alba & Alfarano, Simone & Camacho-Cuena, Eva & Morone, Andrea, 2018. "Crowding out effect and traders' overreliance on public information in financial markets: a lesson from the lab," MPRA Paper 88866, University Library of Munich, Germany.
    15. Banerjee, Sanjay & Qu, Hong & Zhao, Ran, 2022. "Clarity trumps content: An experiment on information acquisition in beauty contests," Journal of Economic Behavior & Organization, Elsevier, vol. 195(C), pages 381-407.
    16. Anna Bayona & Oana Peia & Razvan Vlahu, 2023. "Credit Ratings and Investments," Working Papers 776, DNB.

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    More about this item

    Keywords

    public information; experiment; beauty contest; heterogeneous information;
    All these keywords.

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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