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DSGE forecasts of the lost recovery

机译:DSGE对恢复损失的预测

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The years following the Great Recession were challenging for forecasters. Unlike other deep downturns, this recession was not followed by a swift recovery, but instead generated a sizable and persistent output gap that was not accompanied by deflation as a traditional Phillips curve relationship would have predicted. Moreover, the zero lower bound and unconventional monetary policy generated an unprecedented policy environment. We document the actual real-time forecasting performance of the New York Fed dynamic stochastic general equilibrium (DSGE) model during this period and explain the results using the pseudo real-time forecasting performance results from a battery of DSGE models. We find the New York Fed DSGE model's forecasting accuracy to be comparable to that of private forecasters, and notably better for output growth than the median forecasts from the FOMC's Summary of Economic Projections. The model's financial frictions were key in obtaining these results, as they implied a slow recovery following the financial crisis. (C) 2019 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved.
机译:大萧条之后的几年对预报员来说是充满挑战的。与其他严重的低迷不同,这次衰退并没有迅速恢复,而是产生了一个巨大而持久的产出缺口,没有传统的菲利普斯曲线关系所预期的通货紧缩。此外,零下限和非常规货币政策产生了前所未有的政策环境。我们记录了此期间纽约联储动态随机一般一般均衡(DSGE)模型的实际实时预测性能,并使用了来自一系列DSGE模型的伪实时预测性能结果来解释结果。我们发现纽约联储DSGE模型的预测准确性可与私人预测机构相比,并且显着优于FOMC的《经济预测摘要》中位数预测。该模型的财务摩擦是获得这些结果的关键,因为它们暗示了金融危机后复苏缓慢。 (C)2019国际预报员学会。由Elsevier B.V.发布。保留所有权利。

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