基于实验经济学的不公平规则厌恶测度
时间:2018-04-18 22:58 来源:毕业论文 作者:毕业论文 点击:次
| 摘要近年来，行为经济学飞速发展，越来越多的实证研究证据开始对自私人假设提出挑战，行为经济学家逐渐认识到人类的经济活动并非完全自利。社会规则的广泛认同，被用作解释人们偏离理性行为的举动，同时也是人们合作的基础。本文主要结合经典的独裁者实验和最后通牒实验，以出价进入规则场景的方式，测度行为人对不公平社会规则的厌恶程度，以理论分析和数据分析为主要方法，探究这一偏好对行为人经济决策（主要为财产分配决策）的影响。同时，本论文通过比较分析，显著区分规则不公平厌恶与财产不公平厌恶，为社会效用曲线的研究增添新的研究文度。本文的研究成果，可以给规则制定者通过强化行为人规则认识来提升行为人自我约束提供借鉴，亦可为研究陌生人之间的合作行为提供新的研究思路。21414 关键词 规则不公平厌恶 财产不公平厌恶 社会效用 社会偏好 毕业论文外文摘要 Title The Measurement of Aversion of Unfair Rules Based on Experimental Economics Abstract In recent years, behavioral economics has been developing rapidly, and an increasing number of empirical evidence poses a challenge to the private hypothesis. Behavioral economists gradually realize the human economic activity is not completely self-interest. The widely recognition of social rules, being used to explain people’s behavior that deviated from the rational, is also the foundation of the people cooperation. Combined with classical experiments of Dictator and Ultimatum, this article mainly measures people’s aversion of unfair rules through letting people choose their own preferred rules by bidding, making theoretical analysis and data analysis as the main method, exploring the affection of the preference to the offenders’ economic decisions (mainly for the property distribution decisions). At the same time, this article significantly distinguish the unfair rules of disgust and property through the comparative analysis, adding a new study dimension in the research of social utility curve. This article’s research results may provide a reference to rules maker to improve the offender self-discipline by strengthening the offender’s rules recognition, and can provide a new research approach for the research of cooperation behavior between strangers. Keywords aversion of unfair rules aversion of unfair property social utility social reference 目 次 1 绪论 1 1.1 研究背景及意义 1 1.2 研究问题描述 2 1.3 研究方法 2 1.4 本文结构框架 3 2 文献回顾综述 4 2.1 理论背景 4 2.1 实验测度 5 2.3 尚未解决的问题与不足 7 3 研究思路及实验设计 8 3.1 研究思路 8 3.2 实验设计及实施 8 4 数据分析 12 4.1 数据分析思路 12 4.2 对R1组被试的数据分析 13 4.3 对R2组被试的数据分析 18 4.4 R1、R2组被试的数据对比分析 23 结论 27 致谢 29 参考文献 30 (责任编辑：qin) |