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How Useful Are Estimated DSGE Model Forecasts for Central Bankers?

机译:DSGE模型估计值对中央银行家的预测有用吗?

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Dynamic stochastic general equilibrium (DSGE) models are a prominent tool for forecasting at central banks, and the competitive forecasting performance of these models relative to alternatives, including official forecasts, has been documented. When evaluating DSGE models on an absolute basis, however, we find that the benchmark estimated medium-scale DSGE model forecasts inflation and GDP growth very poorly, although statistical and judgmental forecasts do equally poorly. Our finding is the DSGE model analogue of the literature documenting the recent poor performance of macroeconomic forecasts relative to simple naive forecasts since the onset of the Great Moderation. Although this finding is broadly consistent with the DSGE model we employ-the model itself implies that especially under strong monetary policy, inflation deviations should be unpredictable-a "wrong" model may also have the same implication. We therefore argue that forecasting ability during the Great Moderation is not a good metric by which to judge models.
机译:动态随机一般均衡(DSGE)模型是中央银行进行预测的重要工具,并且这些模型相对于替代方案(包括官方预测)的竞争性预测性能也已得到记录。但是,在绝对评估DSGE模型时,我们发现基准估计的中等规模DSGE模型对通货膨胀和GDP增长的预测非常差,尽管统计和判断性预测也同样差。我们的发现是文献的DSGE模型类似物,该文献记录了自从“大温和”爆发以来宏观经济预测相对于简单的天真的预测而言近期表现不佳。尽管这一发现与我们采用的DSGE模型大体上相符-该模型本身暗示着,特别是在强有力的货币政策下,通货膨胀偏差应该是不可预测的-“错误”模型也可能具有相同的含义。因此,我们认为,“大适度”期间的预测能力不是判断模型的良好指标。

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