【研学并举】上财经院曾华夏副教授合作论文被博弈论领域国际期刊Games and Economic Behavior正式接收发表

时间:2022-11-22

近日,上财经院经济学系的曾华夏副教授与新加坡管理大学yobo体育全站app下载的Shurojit Chatterji教授的合作论文“A Taxonomy of Non-dictatorial Unidimensional Domains ”被博弈论领域的国际期刊、我校认定的经济学国际一类期刊Games and Economic Behavior 正式接收发表

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曾华夏副教授为yobo体育全站app下载2018年引进的常任轨Tenure-track)教师,博士毕业于新加坡管理大学,主要研究领域为微观经济理论、机制设计。截至目前,他已有9篇学术论文发表于国际期刊Games and Economic Behavior, Journal of Economic Theory, Journal of Mathematical Economics以及Theoretical Economics上,并主持了一项国家自然科学基金委青年科学研究项目(已结题)。

yobo体育全站app下载一直将科研创新能力视为学科核心竞争力的重要组成部分,学院教师科研团队以一流学科建设标准严格要求,积极探索、勇于创新,充分发挥学院持续推进的教育改革成果效益,坚定探索立足中国国情的国际化课题研究思路,持续推动前沿领域的问题研究,为学院的学科研究发展添砖加瓦。

 

附:论文摘要:

Non-dictatorial preference domains allow the design of unanimous social choice functions (henceforth, rules) that are non-dictatorial and strategy-proof. On a class of preference domains called unidimensional domains, we show that the unique seconds property (introduced by Aswal, Chatterji, and Sen, 2003) characterizes all non-dictatorial domains. Subsequently, we provide an exhaustive classification of all non-dictatorial, unidimensional domains, based on a simple property of two-voter rules called invariance. The domains constituting the classification are semi-single-peaked domains (introduced by Chatterji, Sanver, and Sen, 2013) and semi-hybrid domains (introduced here) which are two appropriate weakenings of single-peaked domains and shown to allow strategy-proof rules to depend on non-peak information of voters’ preferences; the canonical strategy-proof rules for these domains are projection rules and hybrid rules respectively. As a refinement of the classification, single-peaked domains and hybrid domains emerge as the only unidimensional domains that force strategy-proof rules to be determined completely by preference peaks.

中文摘要:

非独断偏好域容纳机制设计者设计一个同时满足一致性和防策略操纵的非独断社会选择机制。在单维偏好域中,我们首先证明唯一次优条件(由 AswalChatterji & Sen (2003) 提出)是刻画所有非独断偏好域的充分必要条件。随后,基于社会选择机制的不变性和可变性,本文对所有非独断单维偏好域进行了详尽的分类。此分类由弱单峰偏好域(由 ChatterjiSanver & Sen (2013) 提出)和弱混合偏好域(由本文提出)所构成。这两类偏好域适当弱化了传统的单峰偏好域;不同于传统的单峰偏好域,它们不仅分别容纳机制设计者设计满足一致性、偏好峰值决定性和防策略操纵的经典社会选择机制,如投射机制和混合机制,更是为设计一类依赖非偏好峰值的社会选择机制提供了空间。最后,作为上述分类的改进,我们证明单峰偏好域和混合偏好域是唯二的,能推动社会选择机制满足偏好峰值决定性的单维偏好域。

 

 


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