Collaborative Research: Mechanism Design with Imperfect Commitment
协作研究:不完美承诺的机制设计
基本信息
- 批准号:0452015
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2005
- 资助国家:美国
- 起止时间:2005-06-01 至 2009-05-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The investigators will conduct research on mechanism design with imperfect commitment. Their work will use the tools of mathematical economic theory to address an important real-world problem. In many decision and policy environments, the individual who makes a decision does not have all relevant information. For example, often the people who will be affected by a decision have important information that is not directly available to the person making the decision. In this case, the informed individuals may have an incentive to distort what they tell the uninformed decision-maker, in order to distort the eventual outcome towards their self-interest.Mechanism design economics uses tools from game theory to explore this situation. It uses tools from game theory to determine how accurate information can be elicited by providing participants with the right incentives. The theory originates in the study of auctions, taxation, and public goods, and it has also been applied to monetary economics, development economics, and labor economics. This theory has had a substantial impact on the advice economists provide to policy-makers, but it rests on a key assumption: the policy-maker must be able to commit to (or contract on) providing the promised incentives.In practice, this is sometimes difficult. Once the policy-maker has accurate information, he or she may choose to renege on his/her commitment to reward truthtelling. The goal of this research project is to extend the current theory to consider exactly this problem of "imperfect commitment". The result will be a theory that can be applied to a substantially wider range of real-world policy decisions.
研究者将在不完全承诺下进行机制设计研究。他们的工作将使用数学经济理论的工具来解决一个重要的现实问题。在许多决策和政策环境中,做出决策的个人并不掌握所有相关信息。例如,通常受决策影响的人拥有重要的信息,而这些信息并不能直接提供给决策者。在这种情况下,知情的个人可能有动机扭曲他们告诉不知情的决策者的信息,以扭曲最终的结果,使其符合自身利益。机制设计经济学运用博弈论的工具来探讨这种情况。它使用博弈论的工具来确定如何通过向参与者提供正确的激励来获得准确的信息。该理论起源于对拍卖、税收和公共物品的研究,也被应用于货币经济学、发展经济学和劳动经济学。这一理论对经济学家向政策制定者提供的建议产生了重大影响,但它基于一个关键假设:政策制定者必须能够承诺(或签订合同)提供承诺的激励。在实践中,这有时是困难的。一旦决策者掌握了准确的信息,他或她可能会选择违背他/她奖励说实话的承诺。本研究项目的目标是扩展现有的理论,以准确考虑“不完全承诺”这一问题。其结果将是一个理论,可以应用于更广泛的现实世界的政策决定。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Vijay Krishna其他文献
EQUILIBRIUM EFFECTS OF PAY TRANSPARENCY∗
薪酬透明度的均衡效应*
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Zoë B. Cullen;Arun Chandrasekhar;Kalyan Chatterjee;Isa Chaves;Bo Cowgill;Piotr Dworczak;Jack Fanning;Chiara Farronato;Maciej Kotowski;Vijay Krishna;Jon Levin;Shengwu Li;Erik Madsen;Davide Malacrino;Alejandro Martinez;Paul R. Milgrom;Muriel Niederle;Kareen Rozen;Ilya Segal;Isaac Sorkin;Jesse Shapiro;B. Steinberg;Takuo Sugaya;Catherine Tucker;Emmanuel Vespa;Alistair Wilson - 通讯作者:
Alistair Wilson
Computed Distribution of Quaternary Complexes of Cu(II), Zn(II) Co(II) and Ni(II) with Citrulline and Tryphtophan as Primary Ligand and Thymine as Secondary Ligand
- DOI:
10.1007/s40010-019-00645-0 - 发表时间:
2019-11-18 - 期刊:
- 影响因子:1.200
- 作者:
Monika Singh;Surabhi Sinha;Vijay Krishna - 通讯作者:
Vijay Krishna
Approximating High-dimensional Dynamic Models: Sieve Value Function Iteration Approximating High-dimensional Dynamic Models: Sieve Value Function Iteration
近似高维动态模型:筛值函数迭代 近似高维动态模型:筛值函数迭代
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
Peter Arcidiacono;Patrick J. Bayer;Federico A. Bugni;Jonathan James;Vijay Krishna;Peng Sun - 通讯作者:
Peng Sun
Investigation of mechanical, microstructural and corrosive properties of ERNiCrMo-3 – ERCuSiA based additively manufactured functionally graded material
研究基于 ERNiCrMo-3 – ERCuSiA 的增材制造功能梯度材料的机械、微观结构和腐蚀性能
- DOI:
10.1007/s12008-023-01573-5 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Tejendra Singh Singhal;J. Jain;Vijay Krishna;Nakul Gupta;Vishal Bhojak;K. Saxena - 通讯作者:
K. Saxena
Toward Accurate Calculation of Excitation Energies on Quantum Computers with ΔADAPT-VQE: A Case Study of BODIPY Derivatives.
使用 ΔADAPT-VQE 精确计算量子计算机上的激发能量:BODIPY 衍生物的案例研究。
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:5.7
- 作者:
Anton Nykänen;Leander Thiessen;Elsi;Vijay Krishna;Stefan Knecht;Fabijan Pavošević - 通讯作者:
Fabijan Pavošević
Vijay Krishna的其他文献
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{{ truncateString('Vijay Krishna', 18)}}的其他基金
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合作研究:创新与信息
- 批准号:
2048806 - 财政年份:2021
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协作研究:动态筛选合约中的单调方法
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1359740 - 财政年份:2013
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1132193 - 财政年份:2011
- 资助金额:
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Standard Grant
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合作研究:拍卖和转售市场
- 批准号:
0752931 - 财政年份:2008
- 资助金额:
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Continuing Grant
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0095639 - 财政年份:2001
- 资助金额:
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Continuing Grant
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合作研究:专业知识经济学
- 批准号:
9618726 - 财政年份:1997
- 资助金额:
-- - 项目类别:
Standard Grant
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