可预测性
经济
计量经济学
理性
贝叶斯概率
贝叶斯推理
贝叶斯信息准则
一致性预测
失真(音乐)
理性预期
计算机科学
统计
数学
放大器
计算机网络
带宽(计算)
政治学
法学
作者
Pedro Bordalo,Nicola Gennaioli,Yueran Ma,Andrei Shleifer
摘要
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 overreaction capture important variation in forecast biases across different series, yielding a belief distortion parameter similar to estimates obtained in other settings. (JEL C53, D83, D84, E13, E17, E27, E47)
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