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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w22978 |
来源ID | Working Paper 22978 |
Discrete Adjustment to a Changing Environment: Experimental Evidence | |
Mel Win Khaw; Luminita Stevens; Michael Woodford | |
发表日期 | 2016-12-26 |
出版年 | 2016 |
语种 | 英语 |
摘要 | We conduct a laboratory experiment to shed light on the cognitive limitations that may affect the way decision makers respond to changes in their economic environment. The subjects solve a tracking problem: they estimate the probability of a binary event, which changes stochastically. The subjects observe draws and indicate their draw-by-draw estimate. Our subjects depart from the optimal Bayesian benchmark in systematic ways, but these deviations are not simply the result of some boundedly rational, but deterministic rule. Rather, there is a random element in the subjects' response to any given history of evidence. Moreover, subjects adjust their forecast in discrete jumps rather than after each new ring draw, even though there are no explicit adjustment costs. They adjust by both large and small amounts, contrary to the predictions of a simple Ss model of optimal adjustment subject to a fixed cost. Finally, subjects prefer to report "round number" probabilities, even though that requires exerting additional effort. Each of these regularities resembles the behavior of firms setting prices for their products. We develop a model of inattentive adjustment and compare its quantitative fit with alternative models of stochastic discrete adjustment. |
主题 | Microeconomics ; Economics of Information ; Macroeconomics |
URL | https://www.nber.org/papers/w22978 |
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/580652 |
推荐引用方式 GB/T 7714 | Mel Win Khaw,Luminita Stevens,Michael Woodford. Discrete Adjustment to a Changing Environment: Experimental Evidence. 2016. |
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 | ||
w22978.pdf(851KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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