G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/w26830
来源IDWorking Paper 26830
A Quantitative Analysis of Distortions in Managerial Forecasts
Yueran Ma; Tiziano Ropele; David Sraer; David Thesmar
发表日期2020-03-09
出版年2020
语种英语
摘要This paper quantifies the economic costs of distortions in managerial forecasts. We match a unique managerial survey run by the Bank of Italy with administrative data on firm balance sheets and income statements. The resulting dataset allows us to observe a long panel of managerial forecast errors for a sample of firms representative of the Italian economy. We show that managerial forecast errors are positively and significantly autocorrelated. This persistence in forecast error is consistent with managerial underreaction to new information. To quantify the economic significance of this forecasting bias, we estimate a dynamic equilibrium model with heterogeneous firms and distorted expectations. The estimated model matches not only the persistence of forecast errors, but the empirical link between investment and managerial forecasts. Relative to a counterfactual with rational expectations, we find that managers exhibit large forecasting biases, which lead to significant distortions in firm-level investment. These distortions, however, imply limited loss in firm value. In general equilibrium, the estimated model leads to negligible aggregate efficiency losses from distorted forecasts.
主题Macroeconomics ; Consumption and Investment ; Financial Economics ; Corporate Finance
URLhttps://www.nber.org/papers/w26830
来源智库National Bureau of Economic Research (United States)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/584503
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GB/T 7714
Yueran Ma,Tiziano Ropele,David Sraer,et al. A Quantitative Analysis of Distortions in Managerial Forecasts. 2020.
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