Analysis of Affiliation, Entry, and Bidding in First-Price Auctions with Heterogeneous Bidders

异质投标人一价拍卖中的隶属、进入和投标分析

• 批准号: 0922109
• 负责人: Tong LI
• 金额: $ 7.93万
• 依托单位: Vanderbilt University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0922109&HistoricalAwards=false
• 关键词: Analysis; Affiliation; Entry; Bidding; First

This award funds research to develop new statistical methods for analyzing data on how individuals behave in strategic situations. The major focus is to develop new econometric techniques for analyzing bidder behavior in auctions. The principal investigator develops a method that can be applied to test new theories about why and when new bidders enter an auction with an initial bid when entry behavior is observed, bidders' private values and entry costs are affiliated, and potential bidders are asymmetric. This test is intuitive and uses a recently developed simulation method that may also be useful in a variety of other applications.The second goal of this project is developing a structural econometric model that can be used for situations with affiliated and asymmetric bidders. The structural approach adopted in this research overcomes a number of difficulties with previous methods. The PI illustrates the advantages of the new method by using it to analyze data from timber auctions.This research has broader impact in two ways. The approach developed here can also be used to develop new statistical techniques for analyzing data on other kinds of strategic decision making. The specific results of the timber auction data analysis will help state and Federal policymakers who must decide the procedures for using natural resources.

该奖项资助研究开发新的统计方法，以分析个人在战略情况下的行为数据。主要的焦点是开发新的计量经济学技术来分析拍卖中的投标人行为。首席调查者开发了一种方法，可以用来测试新的理论，即当观察到进入行为时，新的投标人为什么以及何时以初始出价进入拍卖，投标人的私人价值和进入成本是关联的，并且潜在的投标人是不对称的。这项测试是直观的，并使用了最近开发的模拟方法，该方法也可能在各种其他应用中有用。该项目的第二个目标是开发一个结构计量经济学模型，可以用于有附属和非对称投标人的情况。本研究所采用的结构方法克服了以往方法中的一些困难。PI通过对木材拍卖数据的分析说明了新方法的优势。本研究在两个方面具有更广泛的影响。这里开发的方法也可以用来开发新的统计技术，用于分析其他类型的战略决策的数据。木材拍卖数据分析的具体结果将有助于州和联邦政策制定者决定使用自然资源的程序。