G2TT
来源类型Discussion paper
规范类型论文
来源IDDP11725
DP11725 Discrete Adjustment to a Changing Environment: Experimental Evidence
Michael Woodford
发表日期2016-12-23
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 used in the literature on price adjustment.
主题Monetary Economics and Fluctuations
关键词Menu costs Generalized ss model Adjustment hazard Rational inattention
URLhttps://cepr.org/publications/dp11725
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/540539
推荐引用方式
GB/T 7714
Michael Woodford. DP11725 Discrete Adjustment to a Changing Environment: Experimental Evidence. 2016.
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