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Bounded rationality and heterogeneous expectations: Euler versus anticipated-utility approach

机译:有界合理性和异质期望:欧拉与预期 - 实用方法

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摘要

By using Bayesian techniques, our paper investigates behavioral New-Keynesian DSGE models derived under two parsimonious alternatives to introduce heterogeneous expectations: the Euler equation and the anticipated-utility approach. First, we explore the relation between the expectation formation processes and the model determinacy for a broad range of parameterizations by using global sensitivity analysis and Monte Carlo filtering. Second, we perform model comparison to assess how much the two alternatives are consistent with macro and expectation survey data. Our main results are twofold: (1) model determinacy is strongly undermined by the presence of boundedly rational agents; (2) a behavioral model based on Euler equation approach fits the data decisively better than one based on anticipated utility.
机译:通过使用贝叶斯技术,我们的论文调查了在两种定义替代品中导出的行为新凯恩斯DSGE模型,以引入异质期望:欧拉方程和预期 - 实用方法。 首先,我们通过使用全局敏感性分析和蒙特卡罗滤波来探讨期望地层过程与模型确定过程之间的关系,以及广泛的参数化。 其次,我们执行模型比较,以评估两种替代方案与宏观和期望调查数据一致。 我们的主要结果是双重的:(1)模型决定性受到边界理性药剂的存在强烈破坏; (2)基于Euler方程方法的行为模型比预期的效用果断地符合果实果断。

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