博弈论专家的行为实验何以印证主流经济学——实验条件的控制与实验结果的差异性

发布时间：2018-12-09 20:42

【摘要】：实验结果往往受实验控制条件的影响,实验条件的设置不同导致了实验结果的差异性。很大程度上,正是由于构建了类似经济人的双盲设置,博弈论专家所得出的实验结果往往会印证现代主流经济学的思维逻辑和相关理论。同时,博弈论专家之所以严格控制实验条件并热衷于双盲试验,则主要与他们的知识结构和研究对象有关,他们偏好于检测受试者在给定博弈情境下的行为逻辑,甚至对干扰因素对实验结果的影响感到不安。问题是,这种实验条件控制主要与有大量人员参与市场竞争行为比较相符,而与人们的日常生活情形相差巨大。因此,为了更好地通过实验来探索人们日常生活中的一般行为机理,就需要且可以改变实验条件,如博弈的矩阵类型、环境结构、受试者特性以及动态特性等,从而使得实验的博弈情境尽可能地接近现实环境,这是实验经济学和行为经济学的基本要求和发展方向。
[Abstract]:The experimental results are often affected by the experimental control conditions, and the different settings of the experimental conditions lead to the difference of the experimental results. To a large extent, it is precisely because of the construction of a double-blind setting similar to economic man that the experimental results of game theory experts often confirm the thinking logic and related theories of modern mainstream economics. At the same time, the reason why game theory experts strictly control the experimental conditions and are keen on double-blind experiments is mainly related to their knowledge structure and research objects. They prefer to test the behavior logic of the subjects in a given game situation. Even disturbed by the interference factors on the results of the experiment. The problem is that the control of the experimental conditions is mainly consistent with the participation of a large number of people in the market competition behavior, but is very different from people's daily life. Therefore, in order to better explore the general behavior mechanism of people's daily life through experiments, we need and can change the experimental conditions, such as the matrix type of game, the structure of the environment, the characteristics of the subjects and the dynamic characteristics, etc. Thus, the experimental game situation is as close as possible to the real environment, which is the basic requirement and development direction of experimental economics and behavioral economics.
【作者单位】：中山大学岭南学院;
【基金】：广东省哲学社会科学“十二五”规划项目“制度分析的方法论比较及其实践效应”(GD12CLJ02)
【分类号】：F069.9

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