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On Information Aggregation in International Alliances

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Abstract

I develop a model of strategic communication to study information aggregation in an alliance between multiple players. An alliance exhibits four features: i) imperfect private information among players; ii) substitutability in actions; iii) constraints on the action set; and iv) preference heterogeneity (biases). The main result of the paper derives conditions for full information aggregation within the alliance under a public communication protocol. Full information aggregation ensues as long as players' biases are sufficiently cohesive with respect to the constraints on the action set. When players can (costlessly) choose an action set ex ante, I derive the precise conditions on the minimal action set such that there is full information aggregation. Comparative statics uncovers two sources for the differences in the size of the minimal action set between players: bias over outcomes (preference effect) and degree of interdependency (interdependency effect). The results are discussed in the context of burden sharing incentives during military interventions within NATO.

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  • Raghul S Venkatesh, 2018. "On Information Aggregation in International Alliances," AMSE Working Papers 1855, Aix-Marseille School of Economics, France, revised Jul 2019.
  • Handle: RePEc:aim:wpaimx:1855
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    1. Jeanne Hagenbach & Frédéric Koessler, 2010. "Strategic Communication Networks," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(3), pages 1072-1099.
    2. Konrad, Kai A. & Kovenock, Dan, 2009. "The alliance formation puzzle and capacity constraints," Economics Letters, Elsevier, vol. 103(2), pages 84-86, May.
    3. 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.
    4. Torun Dewan & Andrea Galeotti & Christian Ghiglino & Francesco Squintani, 2015. "Information Aggregation and Optimal Structure of the Executive," American Journal of Political Science, John Wiley & Sons, vol. 59(2), pages 475-494, February.
    5. Torun Dewan & Andrea Galeotti & Christian Ghiglino & Francesco Squintani, 2015. "Information aggregation and optimal structure of the executive," LSE Research Online Documents on Economics 59632, London School of Economics and Political Science, LSE Library.
    6. Rossella Argenziano & Sergei Severinov & Francesco Squintani, 2016. "Strategic Information Acquisition and Transmission," American Economic Journal: Microeconomics, American Economic Association, vol. 8(3), pages 119-155, August.
    7. Timothy Feddersen & Wolfgang Pesendorfer, 1997. "Voting Behavior and Information Aggregation in Elections with Private Information," Econometrica, Econometric Society, vol. 65(5), pages 1029-1058, September.
    8. Sourav Bhattacharya, 2013. "Preference Monotonicity and Information Aggregation in Elections," Econometrica, Econometric Society, vol. 81(3), pages 1229-1247, May.
    9. Dasgupta, Amil & Prat, Andrea, 2008. "Information aggregation in financial markets with career concerns," Journal of Economic Theory, Elsevier, vol. 143(1), pages 83-113, November.
    10. Kai Konrad, 2012. "Information alliances in contests with budget limits," Public Choice, Springer, vol. 151(3), pages 679-693, June.
    11. John Morgan & Phillip C. Stocken, 2008. "Information Aggregation in Polls," American Economic Review, American Economic Association, vol. 98(3), pages 864-896, June.
    12. Galeotti, Andrea & Ghiglino, Christian & Squintani, Francesco, 2013. "Strategic information transmission networks," Journal of Economic Theory, Elsevier, vol. 148(5), pages 1751-1769.
    13. Philippe Jehiel, 1999. "Information Aggregation and Communication in Organizations," Management Science, INFORMS, vol. 45(5), pages 659-669, May.
    14. Raghul S Venkatesh, 2018. "Communication and Commitment with Constraints," AMSE Working Papers 1856, Aix-Marseille School of Economics, France, revised Jul 2019.
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