Overreaction in Macroeconomic Expectations

被引:145
|
作者
Bordalo, Pedro [1 ]
Gennaioli, Nicola [2 ,3 ]
Ma, Yueran [4 ]
Shleifer, Andrei [5 ]
机构
[1] Oxford Said Business Sch, Oxford, England
[2] Univ Bocconi, Milan, Italy
[3] IGiER, Milan, Italy
[4] Chicago Booth, Chicago, IL USA
[5] Harvard Univ, Cambridge, MA 02138 USA
来源
AMERICAN ECONOMIC REVIEW | 2020年 / 110卷 / 09期
基金
欧洲研究理事会;
关键词
INFORMATION; RETURNS; PRICES; MARKET; BIASES; US;
D O I
10.1257/aer.20181219
中图分类号
F [经济];
学科分类号
02 ;
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.
引用
收藏
页码:2748 / 2782
页数:35
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