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A Bayesian Look at New Open Economy Macroeconomics

机译:贝叶斯看新开放经济的宏观经济学

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This paper develops a small-scale two-country model following the new open economy macroeconomics paradigm. Under autarky, the model specializes to the familiar three-equation New Keynesian dynamic stochastic general equilibrium (DSGE) model. We discuss two challenges to successful estimation of DSGE models: potential model misspecification and identification problems. We argue that prior distributions and Bayesian estimation techniques are useful to cope with these challenges. We apply these techniques to the two-country model and fit it to data from the United States and the Euro area. We compare parameter estimates from closed and open economy specifications, study the sensitivity of parameter estimates to the choice of prior distribution, examine the propagation of monetary policy shocks, and assess the model's ability to explain exchange-rate movements.
机译:根据新的开放经济宏观经济学范式,本文建立了一个小规模的两国模型。在自给自足的情况下,该模型专用于熟悉的三方程式新凯恩斯主义动态随机一般均衡(DSGE)模型。我们讨论了成功估算DSGE模型的两个挑战:潜在的模型规格不正确和识别问题。我们认为,先验分布和贝叶斯估计技术对于应对这些挑战很有用。我们将这些技术应用于两国模型,并将其应用于美国和欧元区的数据。我们比较封闭和开放经济规格中的参数估计值,研究参数估计值对先验分布选择的敏感性,检查货币政策冲击的传播,并评估模型解释汇率变动的能力。

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