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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w28259 |
来源ID | Working Paper 28259 |
Business-Level Expectations and Uncertainty | |
Nicholas Bloom; Steven J. Davis; Lucia Foster; Brian Lucking; Scott Ohlmacher; Itay Saporta-Eksten | |
发表日期 | 2020-12-28 |
出版年 | 2020 |
语种 | 英语 |
摘要 | The Census Bureau’s 2015 Management and Organizational Practices Survey (MOPS) utilized innovative methodology to collect five-point forecast distributions over own future shipments, employment, and capital and materials expenditures for 35,000 U.S. manufacturing plants. First and second moments of these plant-level forecast distributions covary strongly with first and second moments, respectively, of historical outcomes. The first moment of the distribution provides a measure of business’ expectations for future outcomes, while the second moment provides a measure of business’ subjective uncertainty over those outcomes. This subjective uncertainty measure correlates positively with financial risk measures. Drawing on the Annual Survey of Manufactures and the Census of Manufactures for the corresponding realizations, we find that subjective expectations are highly predictive of actual outcomes and, in fact, more predictive than statistical models fit to historical data. When respondents express greater subjective uncertainty about future outcomes at their plants, their forecasts are less accurate. However, managers supply overly precise forecast distributions in that implied confidence intervals for sales growth rates are much narrower than the distribution of actual outcomes. Finally, we develop evidence that greater use of predictive computing and structured management practices at the plant and a more decentralized decision-making process (across plants in the same firm) are associated with better forecast accuracy. |
主题 | Industrial Organization ; Firm Behavior ; Other ; Accounting, Marketing, and Personnel ; Development and Growth ; Innovation and R& ; D |
URL | https://www.nber.org/papers/w28259 |
来源智库 | National Bureau of Economic Research (United States) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/585932 |
推荐引用方式 GB/T 7714 | Nicholas Bloom,Steven J. Davis,Lucia Foster,et al. Business-Level Expectations and Uncertainty. 2020. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
w28259.pdf(834KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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