IDEAS home Printed from https://ideas.repec.org/p/lmu/muenar/19236.html

Decision time and steps of reasoning in a competitive market entry game

Author

Listed:
  • Lindner, Florian

Abstract

Entry decisions in market entry games usually depend on the belief about how many others are entering the market, the belief about the own rank in a real effort task, and subjects’ risk preferences. In this paper I am able to replicate these basic results and examine two further dimensions: (i) the level of strategic sophistication, which has a positive impact on entry decisions, and (ii) the impact of time pressure, which has a (partly) negative influence on entry rates. Furthermore, when ranks are determined using a real effort task, differences in entry rates are explainable by higher competitiveness of males. Additionally, I show that individual characteristics are more important for the entry decision in more competitive environments.

Suggested Citation

  • Lindner, Florian, 2013. "Decision time and steps of reasoning in a competitive market entry game," Munich Reprints in Economics 19236, University of Munich, Department of Economics.
  • Handle: RePEc:lmu:muenar:19236
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. is not listed on IDEAS
    2. Clithero, John A., 2018. "Response times in economics: Looking through the lens of sequential sampling models," Journal of Economic Psychology, Elsevier, vol. 69(C), pages 61-86.
    3. Carow, Johannes & Witzig, Niklas M., 2025. "Time pressure and strategic risk-taking in professional chess," Journal of Economic Behavior & Organization, Elsevier, vol. 238(C).
    4. Dorrough, Angela R. & Leszczyńska, Monika & Barreto, Manuela & Glöckner, Andreas, 2016. "Revealing side effects of quota rules on group cooperation," Journal of Economic Psychology, Elsevier, vol. 57(C), pages 136-152.
    5. Felipe Augusto de Araujo & Erin Carbone & Lynn Conell-Price & Marli W. Dunietz & Ania Jaroszewicz & Rachel Landsman & Diego Lamé & Lise Vesterlund & Stephanie Wang & Alistair J. Wilson, 2015. "The Effect of Incentives on Real Effort: Evidence from the Slider Task," CESifo Working Paper Series 5372, CESifo.
    6. Gill, David & Prowse, Victoria, 2019. "Measuring costly effort using the slider task," Journal of Behavioral and Experimental Finance, Elsevier, vol. 21(C), pages 1-9.
    7. Leonidas Spiliopoulos & Andreas Ortmann, 2018. "The BCD of response time analysis in experimental economics," Experimental Economics, Springer;Economic Science Association, vol. 21(2), pages 383-433, June.
    8. Johannes Carow & Niklas M. Witzig, 2024. "Time Pressure and Strategic Risk-Taking in Professional Chess," Working Papers 2404, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    9. Bergstrom Theodore & Parendo Shane & Sonstelie Jon, 2016. "Competition and Personality in a Restaurant Entry Game," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 16(1), pages 411-433, January.
    10. Ibanez, Marcela & Schaffland, Elke, 2018. "Organizational performance with in-group and out-group leaders: An experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 73(C), pages 1-10.

    More about this item

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

    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:lmu:muenar:19236. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tamilla Benkelberg (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.