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Clock Games: Theory and Experiments

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  • Morgan, John

Abstract

Timing is crucial in situations ranging from currency attacks, to product introductions, to starting a revolution. These settings share the feature that payoffs depend critically on the timing of a few other key players—and their moves are uncertain. To capture this, we introduce the notion of clock games and experimentally test them. Each player’s clock starts on receiving a signal about a payoff relevant state variable. Since the timing of the signals is random, clocks are de-synchronized. A player must decide how long, if at all, to delay his after receiving the signal. We show that (i) Equilibrium is always characterized by strategic delay—regardless of whether moves are observable or not; (ii) delay decreases as clocks become more synchronized and increases as information becomes more concentrated; (iii) When moves are observable, players “herd” immediately after any player makes a move. We then show, in a series of experiments, that key predictions of the model are consistent with observed behavior.

Suggested Citation

  • Morgan, John, 2004. "Clock Games: Theory and Experiments," Santa Cruz Department of Economics, Working Paper Series qt81m0r0jj, Department of Economics, UC Santa Cruz.
  • Handle: RePEc:cdl:ucscec:qt81m0r0jj
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    Cited by:

    1. 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.
    2. Cheung, Yin-Wong & Friedman, Daniel, 2009. "Speculative attacks: A laboratory study in continuous time," Journal of International Money and Finance, Elsevier, vol. 28(6), pages 1064-1082, October.
    3. de Paula, Áureo, 2009. "Inference in a synchronization game with social interactions," Journal of Econometrics, Elsevier, vol. 148(1), pages 56-71, January.
    4. Gara Minguez-Afonso, 2007. "Imperfect Common Knowledge in First-Generation Models of Currency Crises," International Journal of Central Banking, International Journal of Central Banking, vol. 3(1), pages 81-112, March.
    5. Makoto Nirei & Theodoros Stamatiou & Vladyslav Sushko, 2012. "Stochastic Herding in Financial Markets Evidence from Institutional Investor Equity Portfolios," BIS Working Papers 371, Bank for International Settlements.
    6. Minguez-Afonso, Gara, 2006. "Imperfect common knowledge in first generation models of currency crises," LSE Research Online Documents on Economics 24509, London School of Economics and Political Science, LSE Library.

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