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Information Manipulation, Coordination, and Regime Change

Author

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  • Chris Edmond
Abstract
This paper presents a model of information and political regime change. If enough citizens act against a regime, it is overthrown. Citizens are imperfectly informed about how hard this will be and the regime can, at a cost, engage in propaganda so that at face-value it seems hard. This coordination game with endogenous information manipulation has a unique equilibrium and the paper gives a complete analytic characterization of its comparative statics. If the quantity of information available to citizens is sufficiently high, then the regime has a better chance of surviving. However, an increase in the reliability of information can reduce the regime's chances. These two effects are always in tension: a regime benefits from an increase in information quantity if and only if an increase in information reliability reduces its chances. The model allows for two kinds of information revolutions. In the first, associated with radio and mass newspapers under the totalitarian regimes of the early twentieth century, an increase in information quantity coincides with a shift towards media institutions more accommodative of the regime and, in this sense, a decrease in information reliability. In this case, both effects help the regime. In the second kind, associated with diffuse technologies like modern social media, an increase in information quantity coincides with a shift towards sources of information less accommodative of the regime and an increase in information reliability. This makes the quantity and reliability effects work against each other. The model predicts that a given percentage increase in information reliability has exactly twice as large an effect on the regime's chances as the same percentage increase in information quantity, so, overall, an information revolution that leads to roughly equal-sized percentage increases in both these characteristics will reduce a regime's chances of surviving.

Suggested Citation

  • Chris Edmond, 2011. "Information Manipulation, Coordination, and Regime Change," NBER Working Papers 17395, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:17395
    Note: POL
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    References listed on IDEAS

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    1. Daron Acemoglu & Georgy Egorov & Konstantin Sonin, 2008. "Coalition Formation in Non-Democracies," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 75(4), pages 987-1009.
    2. Acemoglu,Daron & Robinson,James A., 2009. "Economic Origins of Dictatorship and Democracy," Cambridge Books, Cambridge University Press, number 9780521671422, January.
    3. George-Marios Angeletos & Christian Hellwig & Alessandro Pavan, 2007. "Dynamic Global Games of Regime Change: Learning, Multiplicity, and the Timing of Attacks," Econometrica, Econometric Society, vol. 75(3), pages 711-756, May.
    4. Susanne Lohmann, 2010. "Information Aggregation Through Costly Political Action," Levine's Working Paper Archive 197, David K. Levine.
    5. Iván Werning & George-Marios Angeletos, 2006. "Crises and Prices: Information Aggregation, Multiplicity, and Volatility," American Economic Review, American Economic Association, vol. 96(5), pages 1720-1736, December.
    6. George-Marios Angeletos & Christian Hellwig & Alessandro Pavan, 2006. "Signaling in a Global Game: Coordination and Policy Traps," Journal of Political Economy, University of Chicago Press, vol. 114(3), pages 452-484, June.
    7. Lohmann, Susanne, 1993. "A Signaling Model of Informative and Manipulative Political Action," American Political Science Review, Cambridge University Press, vol. 87(2), pages 319-333, June.
    8. Berman, Eli & Laitin, David D., 2008. "Religion, terrorism and public goods: Testing the club model," Journal of Public Economics, Elsevier, vol. 92(10-11), pages 1942-1967, October.
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    More about this item

    JEL classification:

    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

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