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A Statistical Model of Bilateral Cooperation

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  • Przeworski, Adam
  • Vreeland, James Raymond

Abstract

In most situations of bilateral cooperation we can observe only whether or not potential partners actually cooperate. Yet we often want to know what factors lead the actors to enter into and continue cooperation. The model we develop—a dynamic version of bivariate probit with partial observability—permits one to estimate the probabilities that either of two parties would want to cooperate and to identify the factors that affect these probabilities. As an illustration, we focus on agreements between national governments and the International Monetary Fund. The model should have a wide applicability.

Suggested Citation

  • Przeworski, Adam & Vreeland, James Raymond, 2002. "A Statistical Model of Bilateral Cooperation," Political Analysis, Cambridge University Press, vol. 10(2), pages 101-112, April.
    • Handle: RePEc:cup:polals:v:10:y:2002:i:02:p:101-112_00
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    Cited by:

    1. Ibrahim Elbadawi & Nicholas Sambanis, 2002. "How Much War Will we see?," Journal of Conflict Resolution, Peace Science Society (International), vol. 46(3), pages 307-334, June.
    2. Fratzscher, Marcel & Reynaud, Julien, 2011. "IMF surveillance and financial markets--A political economy analysis," European Journal of Political Economy, Elsevier, vol. 27(3), pages 405-422, September.
    3. Libman, Alexander Mikhailovich, 2009. "Эндогенные Границы И Распределение Власти В Федерациях И Международных Сообществах [ENDOGENOUS BOUNDARIES AND DISTRIBUTION OF POWER In the Federation]," MPRA Paper 16473, University Library of Munich, Germany.
    4. Essers, Dennis & Ide, Stefaan, 2019. "The IMF and precautionary lending: An empirical evaluation of the selectivity and effectiveness of the Flexible Credit Line," Journal of International Money and Finance, Elsevier, vol. 92(C), pages 25-61.
    5. Baccini, Leonardo, 2012. "Democratization and trade policy: an empirical analysis of developing countries," LSE Research Online Documents on Economics 44924, London School of Economics and Political Science, LSE Library.
    6. Martin Steinwand & Randall Stone, 2008. "The International Monetary Fund: A review of the recent evidence," The Review of International Organizations, Springer, vol. 3(2), pages 123-149, June.
    7. Emilie M. Hafner-Burton & Jana von Stein & Erik Gartzke, 2008. "International Organizations Count," Journal of Conflict Resolution, Peace Science Society (International), vol. 52(2), pages 175-188, April.

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