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Overreaction in Macroeconomic Expectations

机译:过度反应宏观经济期望

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We study the rationality of individual and consensus forecasts of macroeconomic and financial variables using the methodology of Coibion and Gorodnichenko (2015), who examine predictability of forecast errors from forecast revisions. We find that individual forecasters typically overreact to news, while consensus forecasts under-react relative to full-information rational expectations. We reconcile these findings within a diagnostic expectations version of a dispersed information learning model. Structural estimation indicates that departures from Bayesian updating in the form of diagnostic over-reaction capture important variation in forecast biases across different series, yielding a belief distortion parameter similar to estimates obtained in other settings.
机译:我们使用Coibion​​和Gorodnichenko(2015)的方法研究了宏观化学和金融变量的个人和共识预测的合理性,他检查了预测修订的预测错误的可预测性。我们发现个人预报员通常会反应新闻,而相应的预测相对于全信息理性预期会产生反应。我们在分散信息学习模型的诊断期望版本中核对这些发现。结构估计表明贝叶斯更新以诊断过反应形式的偏离捕获不同系列预测偏差的重要变化,产生类似于在其他设置中获得的估计的信念失真参数。

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