【前沿讲座】Self-Commitment for Cooperation 和Reference Points for Effort Provision in an Experimental Labor Market

2019年4月17日 09:00 ~ 2019年4月17日 12:30

北京

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报名截止时间:2019-04-16 16:17
取消预约时间:2019-04-16 16:17
讲座人:郑捷和
承办方:经管学院Jaimie W. Lien
适用人群:学硕研究生 专业硕士 博士研究生 
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【讲座一】Self-Commitment for Cooperation

主讲人介绍:

郑捷,清华大学经济管理学院经济系副教授,清华大学经济管理学院经济科学与政策实验室(ESPEL)常务副主任,国际学术期刊Journal of Economic Behavior and Organization副编辑(Associate Editor),Research in Economics副编辑(Associate Editor)。2003年获得清华大学经济学学士学位,2005年获得清华大学经济学硕士学位,2007年获得美国华盛顿大学经济学硕士学位,2011年获得华盛顿大学经济学博士学位。研究领域主要包括经济理论、信息经济学、实验经济学、行为经济学。先后主持多项国家自然科学基金项目,发表论文二十余篇。研究工作发表于Management Science、Nature Communications、American Economic Review (Papers and Proceedings)、Games and Economic Behavior、Journal of Economic Behavior and Organization、Experimental Economics等国际期刊,且有部分工作被收录入Handbook of Experimental Economic Methodology,学术成果被中国信息经济学会授予"中国信息经济学2011-2015理论贡献奖",2016-2018连续三年获"中国信息经济学青年创新奖"。

内容刚要:

Methods and mechanisms for sustaining cooperation in Prisoner’s Dilemma settings have been of tremendous interest across disciplines. In this study, we present a new mechanism for promoting cooperation via self-commitment. Our experimental results show that the self-commitment mechanism successfully separates cooperators from defectors ex-ante, with an overall take-up rate of over 50 percent. In addition, around 80 percent of those taking up the commitment subsequently chose cooperation. These results suggest that our mechanism could be useful, both in sorting individuals based on their preferences for cooperation, as well as in promoting socially efficient outcomes.

【讲座 二】Reference Points for Effort Provision in an Experimental Labor Market

主讲人介绍:

Performance benchmarks or reference points, play an important role in motivating workers’ efforts by setting targets for achievements. Despite their widespread use in most workplace settings, relatively little is known about which types of performance benchmarks are most effective as motivators for workers, and how to optimally set benchmarks based on workers’ past performances and beliefs. We form hypotheses based on behavioral principles and test them using information transfer tasks which require patience, cognitive processing, self-control and accuracy, in the online labor market Mechanical Turk. We test the effects of high and low non-monetary performance targets and their interaction with self-evaluations. We also test positive and negative framing of benchmarks, and the relative effects of socially-based benchmarks compared to individual benchmarks among optimistic and pessimistic workers. Our study contributes to the understanding of setting performance targets in firms and in the larger economy.

内容刚要:

Jaimie Wei-Hung Lien,香港中文大学商学院助理教授。2001年获得美国卫尔斯利女子学院经济数学学士学位,2005年获得美国加利福尼亚大学圣地亚哥分校经济硕士学位,2010年获得美国加利福尼亚大学圣地亚哥分校经济博士学位。研究领域包括行为经济学、实验经济学、应用微观经济学。先后主持过国家自然科学基金项目、教育部科研项目、香港研究资助局项目,发表论文近二十篇。目前已有论文发表于Nature Communications、PNAS、American Economic Review (Papers and Proceedings)、Games and Economic Behavior、Journal of Economic Behavior and Organization、Experimental Economics等国际期刊。2016年被中国信息经济学会授予"中国信息经济学2016青年创新奖"和"中国信息经济学2011-2015理论贡献奖"。


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