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首页> 外文期刊>Journal of applied econometrics >A COMPARISON OF FORECAST PERFORMANCE BETWEEN FEDERAL RESERVE STAFF FORECASTS, SIMPLE REDUCED-FORM MODELS, AND A DSGE MODEL
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A COMPARISON OF FORECAST PERFORMANCE BETWEEN FEDERAL RESERVE STAFF FORECASTS, SIMPLE REDUCED-FORM MODELS, AND A DSGE MODEL

机译:联邦储备人员预测,简化形式模型和DSGE模型之间预测性能的比较

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摘要

This paper considers the 'real-time' forecast performance of the Federal Reserve staff, time-series models, and an estimated dynamic stochastic general equilibrium (DSGE) model-the Federal Reserve Board's Estimated, Dynamic, Optimization-based (Edo) model. We evaluate forecast performance using out-of-sample predictions from 1996 to 2004. We find that the Edo model can provide forecasts that are competitive with those of Federal Reserve staff. Taken together with the fact that the Edo model has also proved useful in answering a range of policy questions, this suggests a significant and broad role for richly specified DSGE models in the toolbox of central bank models.
机译:本文考虑了美联储工作人员的“实时”预测绩效,时间序列模型以及估计的动态随机一般均衡(DSGE)模型-联邦储备委员会的基于估计,动态,优化的(Edo)模型。我们使用1996年至2004年的样本外预测来评估预测绩效。我们发现Edo模型可以提供与美联储工作人员的预测相抗衡的预测。事实证明,江户模型在回答一系列政策问题方面也很有用,这表明中央银行模型工具箱中丰富的DSGE模型具有重要而广泛的作用。

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