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Is Rotemberg pricing justified by macro data?

机译:Rotemberg的定价是否因宏观数据而合理?

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Structural models used to study monetary policy often include sticky prices. Calvo pricing is more common but Rotemberg pricing has become popular due to its computational advantage. To determine whether the data supports that change, we estimate a nonlinear New Keynesian model with a zero lower bound (ZLB) constraint and each type of sticky prices. The models produce similar parameter estimates and the filtered shocks are nearly identical when the Fed was not constrained, but the Rotemberg model has a higher marginal data density and it endogenously generates more volatility at the ZLB, which helps explain data from 2008-12011. (C) 2016 Elsevier B.V. All rights reserved.
机译:用于研究货币政策的结构模型通常包括粘性价格。 Calvo定价较为普遍,但Rotemberg定价因其计算优势而变得流行。为了确定数据是否支持该变化,我们估计了一个非线性的新凯恩斯模型,该模型具有零下限(ZLB)约束和每种粘性价格。当美联储不受约束时,这些模型产生相似的参数估计值,并且滤波后的冲击几乎相同,但是Rotemberg模型的边际数据密度更高,并且在ZLB内生性地产生更大的波动性,这有助于解释2008-12011年的数据。 (C)2016 Elsevier B.V.保留所有权利。

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