Khaw Mel W, Stevens Luminita, Woodford Michael
Department of Economics, Columbia University, 10027 New York, NY, USA.
Department of Economics, University of Maryland, 20743 College Park, MD, USA.
Data Brief. 2017 Oct 6;15:469-473. doi: 10.1016/j.dib.2017.10.007. eCollection 2017 Dec.
The data presented in this article are related to the research article entitled "Discrete Adjustment to a Changing Environment: Experimental Evidence" (Khaw et al., 2017) [1]. We present data from a laboratory experiment that asks subjects to forecast the outcome of a time-varying Bernoulli process. On a computer program, subjects draw rings with replacement from a virtual box containing green and red rings in an unknown proportion. Subjects provide their estimates of the probability of drawing a green ring. They are rewarded for their participation and for the accuracy of their estimates. The actual probability of drawing a green ring is initially drawn from a uniform distribution. It then changes intermittently throughout the session, and each subsequent probability is an independent draw from the uniform distribution. Each session involves 1000 ring draws. The dataset contains the values of the underlying probability, the sequence of ring draws that are realized, and the subjects' estimates and response times. The dataset contains the performance of 11 subjects who each completed 10 sessions over the course of several days.
本文所呈现的数据与题为《对变化环境的离散调整：实验证据》（Khaw等人，2017年）[1]的研究文章相关。我们展示了一项实验室实验的数据，该实验要求受试者预测一个随时间变化的伯努利过程的结果。在一个计算机程序上，受试者从一个虚拟盒子中有放回地抽取环，该盒子中装有比例未知的绿色和红色环。受试者提供他们对抽取绿色环概率的估计。他们因参与实验以及估计的准确性而获得奖励。抽取绿色环的实际概率最初从均匀分布中抽取。然后在整个实验过程中间歇性地变化，并且每个后续概率都是从均匀分布中独立抽取的。每个实验环节包括1000次环的抽取。数据集包含基础概率的值、实际实现的环抽取序列，以及受试者的估计和响应时间。该数据集包含11名受试者的表现，他们每人在几天内完成了10个实验环节。
