Direct implementation with evidence

Author:

Banerjee Soumen1,Chen Yi-Chun2,Sun Yifei3

Affiliation:

1. China Center for Behavioural Economics and Finance, Southwestern University of Finance and Economics

2. Department of Economics, Risk Management Institute, National University of Singapore

3. School of International Trade and Economics, University of International Business and Economics

Abstract

We study full implementation with evidence in an environment with bounded utilities. We show that a social choice function is Nash implementable in a direct revelation mechanism if and only if it satisfies the measurability condition proposed by Ben‐Porath and Lipman (2012). Building on a novel classification of lies according to their refutability with evidence, the mechanism requires only two agents, accounts for mixed‐strategy equilibria, and accommodates evidentiary costs. While monetary transfers are used, they are off the equilibrium and can be balanced with three or more agents. In a richer model of evidence due to Kartik and Tercieux (2012a), we establish pure‐strategy implementation with two or more agents in a direct revelation mechanism. We also obtain a necessary and sufficient condition on the evidence structure for renegotiation‐proof bilateral contracts, based on the classification of lies.

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

University of International Business and Economics

Publisher

The Econometric Society

Reference23 articles.

1. Exact Implementation

2. Subgame-Perfect Implementation Under Information Perturbations*

3. Banerjee, Soumen and Yi-Chun Chen (2022), “Implementation with uncertain evidence.” Unpublished Paper.

4. Banerjee, Soumen, Yi-Chun Chen, and Yifei Sun (2023), “Direct implementation with evidence.” arXiv preprint arXiv:2105.12298.

5. Mechanisms With Evidence: Commitment and Robustness

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3