清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Bargaining with Voluntary Disclosure and Endogenous Matching

匹配(统计) 自愿披露 人事变更率 微观经济学 经济 业务 会计 管理 数学 统计
作者
Andrew M. Davis,Kyle Hyndman
出处
期刊:Management Science [Institute for Operations Research and the Management Sciences]
被引量:1
标识
DOI:10.1287/mnsc.2022.03566
摘要

We investigate a bargaining setting between an “informed” player, who has private information, and an “uninformed” player. The informed player has the option to truthfully disclose private information in two unique environments. In the first environment, the informed player is randomly matched with an uninformed player and, after matching, can voluntarily disclose private information prior to a negotiation taking place. In the second environment, the informed player can voluntarily disclose private information before any endogenous matching between players (and subsequent negotiation) takes place. We begin by examining these environments theoretically. When disclosure occurs after matching, we show that low informed types should disclose more often than high informed types to avoid disagreement. However, when disclosure occurs before matching, for a range of parameter values, we show that high informed types should disclose more than low informed types to secure a better match. We test these predictions in a controlled human-subjects experiment and verify many of the theoretical predictions. Among other results, we find that low informed types do indeed disclose their private information to avoid disagreement and that, when it is in their interest to do so, high informed types disclose their private information to secure a better match. Another key insight is that high uninformed types benefit from disclosure regardless of whether it occurs before or after matching. This paper was accepted by Axel Ockenfels, behavioral economics and decision analysis. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2022.03566 .
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Georgechan完成签到,获得积分10
12秒前
18秒前
25秒前
蝈蝈完成签到,获得积分20
57秒前
大模型应助picapica668采纳,获得10
1分钟前
1分钟前
picapica668发布了新的文献求助10
1分钟前
4分钟前
研友_nEWRJ8发布了新的文献求助10
4分钟前
4分钟前
方白秋完成签到,获得积分10
4分钟前
感动的嚓茶完成签到,获得积分10
5分钟前
yutang完成签到 ,获得积分10
5分钟前
6分钟前
森白发布了新的文献求助10
6分钟前
森白完成签到,获得积分10
7分钟前
hanni完成签到 ,获得积分10
7分钟前
8分钟前
gszy1975发布了新的文献求助10
8分钟前
兴尽晚回舟完成签到 ,获得积分10
9分钟前
研友_LOqqmZ完成签到 ,获得积分10
10分钟前
十二个完成签到,获得积分10
11分钟前
迅速的月光完成签到 ,获得积分10
11分钟前
糟糕的铁锤应助peng采纳,获得10
11分钟前
糟糕的铁锤应助peng采纳,获得10
11分钟前
13分钟前
俊逸的篮球完成签到,获得积分10
15分钟前
淡淡妙竹完成签到 ,获得积分10
15分钟前
Ava应助科研通管家采纳,获得10
15分钟前
优美的谷完成签到,获得积分10
16分钟前
17分钟前
2710660736完成签到,获得积分10
17分钟前
JamesPei应助2710660736采纳,获得10
17分钟前
18分钟前
2710660736发布了新的文献求助10
18分钟前
归海子轩完成签到 ,获得积分10
18分钟前
19分钟前
共享精神应助yuan采纳,获得10
20分钟前
李牛牛完成签到,获得积分10
20分钟前
21分钟前
高分求助中
Rock-Forming Minerals, Volume 3C, Sheet Silicates: Clay Minerals 2000
The late Devonian Standard Conodont Zonation 2000
Nickel superalloy market size, share, growth, trends, and forecast 2023-2030 2000
The Lali Section: An Excellent Reference Section for Upper - Devonian in South China 1500
The Healthy Socialist Life in Maoist China 600
The Vladimirov Diaries [by Peter Vladimirov] 600
encyclopedia of computational mechanics,2 edition 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3268760
求助须知:如何正确求助?哪些是违规求助? 2908238
关于积分的说明 8344900
捐赠科研通 2578564
什么是DOI,文献DOI怎么找? 1402206
科研通“疑难数据库(出版商)”最低求助积分说明 655352
邀请新用户注册赠送积分活动 634490