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本页整理公开书目信息,不生成学术质量评分。AI 解读根据题名及所注明的摘要或原文片段生成,未完成全文核验,可能有误;具体假设、证明与结论请核对原文。摘要保留来源文本,未经模型改写。

DOI 首次登记不等于接收或发表日期。部分更正、评论等条目没有独立摘要;缺少可靠材料时保留待补状态。

引用量采用 OpenAlex 单条关联记录,不合计多个记录;关联记录可能包含正式发表版本,不等于此版本单独引用。缺失不视为零,引用指标不代表论文质量。

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分类依据与纠错

AI 根据所提供的论文材料归类:摘要通过拍卖均衡模型识别竞买人的效用、估值与时间折现等结构性对象。

反馈分类问题

正在核对关联版本…

代码、数据与补充材料

正在核对对应版本的资源…

关注这篇论文的作者
Daniel Ackerberg
Keisuke Hirano
Quazi Shahriar

一口价拍卖中时间偏好与风险偏好的识别

研究问题
带有临时一口价选项的拍卖数据,能否区分并识别竞买人的风险厌恶、时间偏好、估值分布和随机到达过程?
方法与思路
作者建立私人价值模型,允许竞买人立即行动或等待,刻画阈值策略均衡,并利用拍卖特征与时长的外生变化识别。
材料陈述的贡献
摘要称在充分外生变化下,到达率、估值分布、效用函数与时间折现函数均可非参数识别,并扩展到变化较受限的情形。
阅读关注点
应核对阈值均衡及均衡选择条件、各项偏好的区分机制,以及保留价、一口价和拍卖时长所需的支持与外生性。
阅读边界
仅据所给 OpenAlex 版本摘要,无法判断充分变化的具体要求或受限变化下的识别范围,也不能推断其他刊本变化。

原文摘要

Buy price auctions merge a posted price option with a standard bidding mechanisms, and have been used by various online auction sites including eBay and General Motors Assistance Corporation. A buyer in a buy price auction can accept the buy price to win with certainty and end the auction early. Intuitively, the buy price option may appeal to bidders who are risk averse or impatient to obtain the good, and a number of authors have examined how such mechanisms can increase the seller's expected revenue over standard auctions. We show that data from buy price auctions can be used to identify bidders' risk aversion and time preferences. We develop a private value model of bidder behavior in a buy price auction with a temporary buy price. Bidders arrive stochastically over time, and the auction proceeds as a second-price sealed bid auction after the buy price disappears. Upon arrival, a bidder in our model is allowed to act immediately (i.e., accept the buy price if it is still available or place a bid) or wait and act later. Allowing for general forms of risk aversion and impatience, we first characterize equilibria in cutoff strategies and describe conditions under which all symmetric pure-strategy subgame-perfect Bayesian Nash equilibria are in cutoff strategies. Given sufficient exogenous variation in auction characteristics such as reserve and buy prices and in auction lengths, we then show that the arrival rate, valuation distribution, utility function, and time-discounting function in our model are all nonparametrically identified. We also develop extensions of the identification results for cases where the variation in auction characteristics is more limited.

笔记与分组