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Erev, I. et al . A Choice Prediction Competition for Market Entry Games: An Introduction. Games 2010, 1 , 117-136

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Author Info

  • Ido Erev

    ()
    (Max Wertheimer Minerva Center for Cognitive Studies, Faculty of Industrial Engineering and Management, Technion, Haifa 32000, Israel)

  • Eyal Ert

    ()
    (Computer Laboratory for Experimental Research, Harvard Business School, Boston, MA, 02163, USA)

  • Alvin E. Roth

    ()
    (Department of Economics, 308 Littauer, Harvard University, Cambridge, MA 02138, USA
    Harvard Business School, 441 Baker Library, Boston, MA 02163, USA)

Abstract

Ion Juvina found an error in our manuscript published in Games. [...]

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Bibliographic Info

Article provided by MDPI, Open Access Journal in its journal Games.

Volume (Year): 1 (2010)
Issue (Month): 3 (July)
Pages: 221-225

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Handle: RePEc:gam:jgames:v:1:y:2010:i:3:p:221-225:d:9037

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Cited by:
  1. Eyal Ert & Ido Erev & Alvin E. Roth, 2011. "A Choice Prediction Competition for Social Preferences in Simple Extensive Form Games: An Introduction," Games, MDPI, Open Access Journal, vol. 2(3), pages 257-276, July.
  2. Wei Chen & Shu-Yu Liu & Chih-Han Chen & Yi-Shan Lee, 2011. "Bounded Memory, Inertia, Sampling and Weighting Model for Market Entry Games," Games, MDPI, Open Access Journal, vol. 2(1), pages 187-199, March.
  3. Ion Juvina & Christian Lebiere & Jolie M. Martin & Cleotilde Gonzalez, 2011. "Intergroup Prisoner’s Dilemma with Intragroup Power Dynamics," Games, MDPI, Open Access Journal, vol. 2(1), pages 21-51, February.
  4. Luke Lindsay, 2011. "Correlated Individual Differences and Choice Prediction," Games, MDPI, Open Access Journal, vol. 2(1), pages 16-20, February.
  5. Thorsten Chmura & Sebastian Goerg & Reinhard Selten, 2011. "Learning in experimental 2 x 2 games," Working Paper Series of the Max Planck Institute for Research on Collective Goods 2011_26, Max Planck Institute for Research on Collective Goods.
  6. Cleotilde Gonzalez & Varun Dutt & Tomás Lejarraga, 2011. "A Loser Can Be a Winner: Comparison of Two Instance-based Learning Models in a Market Entry Competition," Games, MDPI, Open Access Journal, vol. 2(1), pages 136-162, March.

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