诊断预期与宏观经济波动

Jean-Paul L’Huillier, Sanjay R. Singh, Donghoon Yoo
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引用次数: 9

摘要

在宏观经济学和金融学中,诊断性预期已成为偏离理性预期的重要因素。我们提出了线性宏观经济模型中诊断期望的第一种治疗方法。为此,我们建立了诊断期望的强可加性。对其求解方法和稳定性进行了全面的讨论。在某些条件下,诊断性预期比理性预期产生更高的波动性。我们表明,在标准的新凯恩斯主义模型中,如在中等规模的DSGE模型中,这是正确的;相反,在真实的商业周期模型中,产出和投资的特征是抑制。最后,我们讨论了诊断性与不完全信息的结合如何使宏观经济学中的反应不足和过度合理化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diagnostic Expectations and Macroeconomic Volatility
Diagnostic expectations have emerged as an important departure from rational expectations in macroeconomics and finance. We present a first treatment of diagnostic expectations in linear macroeconomic models. To this end, we establish a strong additivity property for diagnostic expectations. The solution method and stability properties are discussed in full generality. Under some conditions, diagnostic expectations generate higher volatility than rational expectations. We show that this is true in standard New Keynesian models, as in medium-scale DSGE models; in real business cycle models output and investment are char- acterized by dampening, instead. Finally, we discuss how the combination of diagnosticity with imperfect information can rationalize under- and over-reaction in macroeconomics.
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