IDEAS home Printed from https://ideas.repec.org/p/cpr/ceprdp/18093.html
   My bibliography  Save this paper

Riot Networks and the Tullock Paradox: An application to the Egyptian Arab Spring

Author

Listed:
  • Koenig, Michael
  • Hsieh, Chih-Sheng
  • Deer, Lachlan
  • Vega-Redondo, Fernando

Abstract

We study a dynamic model of collective action in which agents interact and learn through a co-evolving social network. We consider two alternative scenarios that differ on how agents form their expectations: while in a "benchmark" agents are assumed completely informed of the prevailing state, in the other context agents shape their expectations through a combination of local observation and social learning a la DeGroot. We completely characterize the long-run behavior of the system in both cases and show that only in the latter scenario (arguably the most realistic) there is a significant long-run probability of successful collective action within a meaningful time scale. This, we argue, sheds light on the puzzle of how large populations can "achieve" collective action. Finally, we illustrate the empirical potential of the model by showing that it can be efficiently estimated for the so-called Egyptian Arab Spring using large-scale cross-sectional data from Twitter

Suggested Citation

  • Koenig, Michael & Hsieh, Chih-Sheng & Deer, Lachlan & Vega-Redondo, Fernando, 2023. "Riot Networks and the Tullock Paradox: An application to the Egyptian Arab Spring," CEPR Discussion Papers 18093, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:18093
    as

    Download full text from publisher

    File URL: https://cepr.org/publications/DP18093
    Download Restriction: CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at subscribers@cepr.org
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D71 - Microeconomics - - Analysis of Collective Decision-Making - - - Social Choice; Clubs; Committees; Associations
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D74 - Microeconomics - - Analysis of Collective Decision-Making - - - Conflict; Conflict Resolution; Alliances; Revolutions
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

    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:cpr:ceprdp:18093. 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: the person in charge (email available below). General contact details of provider: https://www.cepr.org .

    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.