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Optimal Macroeconomic Policies in a Monetary Union: A Dynamic Game Analysis

机译:货币联盟的最佳宏观经济政策:动态游戏分析

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In this paper we present an application of the dynamic tracking games framework to a monetary union. We use a small stylized nonlinear two-country macroeconomic model of a monetary union (MUMOD1) to analyse the interactions between fiscal (governments) and monetary (common central bank) policy makers, assuming different objective functions of these decision makers. Using the OPTGAME algorithm we calculate solutions for four game strategies: one cooperative (Pareto optimal) and three non-cooperative games: the Nash game for the open-loop information pattern, the Nash game for the feedback information pattern, and the Stackelberg game for the feedback information pattern. Applying the OPTGAME algorithm to the MUMOD1 model we show how the policy makers react to demand and supply shocks according to different solution concepts. Some comments are given on possible applications to the recent sovereign debt crisis in Europe.
机译:在本文中,我们向货币联盟提供了动态跟踪游戏框架的应用。我们使用一个货币联盟(Mumod1)的小型风格非线性两国宏观经济模型,分析非财政(政府)和货币(普通中央银行)决策者之间的互动,假设这些决策者的不同客观职能。使用Optgame算法我们计算四个游戏策略的解决方案:一个合作(Pareto最优)和三个非合作游戏:用于开环信息模式的NASH游戏,反馈信息模式的NASH游戏,以及Stackelberg游戏反馈信息模式。将Optgame算法应用于Mumod1型号,我们展示了根据不同的解决方案概念的决策者对需求和供应冲击的反应。在欧洲最近的主权债务危机中申请了一些意见。

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