Comparative Evaluation of Independent Private Values Distributions on Internet Auction Performance

T. Leung, W. Knottenbelt
{"title":"Comparative Evaluation of Independent Private Values Distributions on Internet Auction Performance","authors":"T. Leung, W. Knottenbelt","doi":"10.4018/jeei.2012010105","DOIUrl":null,"url":null,"abstract":"The Independent Private Values (IPV) model is foundational for the analysis of Internet auction performance and is widely used in the study of auction behaviour. The characteristics of this model include the assumptions of privacy and independence where the value of the commodity in question is private to the individual buyers, and that different buyers do not know the values other buyers attached to the commodity. In addition, these values are drawn from a common distribution which is known to the buyers. In probabilistic terms, this essentially amounts to a series of values which are independent and identically distributed. The features and characteristics of the IPV distribution will have a significant impact on auction behaviour, and since a general stochastic analysis of their impact is analytically intractable, here auction performance is studied using an auction process simulator. Both hard close and soft close Internet auctions are studied. In addition, Vickrey auctions and auction mechanisms with multiple bid acceptance are compared and evaluated. From experimental findings, the paper establishes quantitative relationships between the different auction process parameters, deploy suitable IPV distributions to model the characteristics of different communities of bidders, provide suggestions for optimising auction performance, and recommend strategies for efficient auction design. DOI: 10.4018/jeei.2012010105 60 International Journal of E-Entrepreneurship and Innovation, 3(1), 59-71, January-March 2012 Copyright © 2012, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. encourage sniping (bidders submit their bids moments before the close of an auction thereby preventing other bidders from submitting counter-bids), the acceptance of multiple bids in a single auction, and a maximum threshold whereby the auction will terminate at that price point. Due to lack of regulation, the size of the market and the volume of bidders and sellers, Internet auctions are better suited to incorporating algorithms of increased complexity as opposed to the more established procedures at traditional auction houses. For example, while eBay runs what essentially amounts to an English auction with a fixed duration, Swoopo runs what is known as a penny auction, where each bid incurs a fee and also extends the length of the auction by a short amount (10-20 seconds). One way to view an auction is to regard it as the determination of bidders’ valuations by the seller with the hindrance of concealed information from bidders (Cowell, 2006). The value of the object being sold (or lot) can either be the same for everyone and bids will vary according to the accuracy of the information a bidder holds, or each bidder will have his own private valuation that is unaffected by the valuations of those around him, whether known to him or not. The Independent Private Values model (Parsons et al., 2011) include the assumptions of privacy and independence where the value of the commodity in question is private to the individual buyers, and that different buyers do not know the values other buyers attached to the commodity. In addition, these values are drawn from a common distribution, which is known to the buyers. In probabilistic terms, this essentially amounts to a series of values, which are independent and identically distributed. A common distribution used is the uniform distribution. In this paper, through the use of simulations, we show that the results of auctions, measured through metrics such as average auction income and average auction duration, remain largely insensitive to the underlying private value distribution because the auction incomes tend towards a similar value for high bid rates. There has been substantial work done on auctions, with several books written on the topic (Cramton, 2006; Klemperer, 2004; Krishna, 2002; Milgrom, 2004). A stochastic number of bidders are studied in McAfee and McMillian (1987) where first-price sealed-bid auctions having constant absolute risk aversion is analysed. As a result of the stochastic analysis, the authors conclude that the seller should conceal the number of bids in order to maximise the selling price. Stochastic models of bid arrival characteristics are studied in Shmueli et al. (2007) and Russo et al. (2008) where the so-called BARISTA (Bid ARrivals InSTAges) model that makes use of non-homogeneous Poisson process is proposed. The probabilistic and statistical properties of these models are analysed and studied and the usefulness of these models for auction modelling is illustrated and discussed. A stochastic approach to Internet auctions is given in Gelenbe (2009), where bid arrivals also follow a Poisson process, with successive bids increasing in value and the seller’s problem is to decide when it should accept a bid. After each bid, the seller waits for some random decision time to determine whether to accept the offer. If a new bid arrives before that time expires, then the process is repeated for this new bid. However, if a new bid does not arrive before this time expires, then the seller accepts the current bid. If the seller accepts the offer too quickly, then the price obtained may be low with respect to the price that the seller would have received had he or she been more patient. On the other hand, if the seller waits a long time before accepting an offer, a higher price may be obtained but at the expense of wasting more time. After selling the good, the seller rests for some random time before initiating a new auction. Characteristics of this mechanism include decision time, rest time, and maximum bid value. These may be adjusted, which will affect the auction duration. Similarly, in this paper, we simulate the bid arrivals as a Poisson process, and we follow the commonly adopted Independent Private Values approach in which 11 more pages are available in the full version of this document, which may be purchased using the \"Add to Cart\" button on the product's webpage: www.igi-global.com/article/comparative-evaluationindependent-private-values/63017?camid=4v1 This title is available in InfoSci-Journals, InfoSci-Journal Disciplines Business, Administration, and Management. Recommend this product to your librarian: www.igi-global.com/e-resources/libraryrecommendation/?id=2","PeriodicalId":102199,"journal":{"name":"Int. J. E Entrepreneurship Innov.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. E Entrepreneurship Innov.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/jeei.2012010105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

The Independent Private Values (IPV) model is foundational for the analysis of Internet auction performance and is widely used in the study of auction behaviour. The characteristics of this model include the assumptions of privacy and independence where the value of the commodity in question is private to the individual buyers, and that different buyers do not know the values other buyers attached to the commodity. In addition, these values are drawn from a common distribution which is known to the buyers. In probabilistic terms, this essentially amounts to a series of values which are independent and identically distributed. The features and characteristics of the IPV distribution will have a significant impact on auction behaviour, and since a general stochastic analysis of their impact is analytically intractable, here auction performance is studied using an auction process simulator. Both hard close and soft close Internet auctions are studied. In addition, Vickrey auctions and auction mechanisms with multiple bid acceptance are compared and evaluated. From experimental findings, the paper establishes quantitative relationships between the different auction process parameters, deploy suitable IPV distributions to model the characteristics of different communities of bidders, provide suggestions for optimising auction performance, and recommend strategies for efficient auction design. DOI: 10.4018/jeei.2012010105 60 International Journal of E-Entrepreneurship and Innovation, 3(1), 59-71, January-March 2012 Copyright © 2012, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. encourage sniping (bidders submit their bids moments before the close of an auction thereby preventing other bidders from submitting counter-bids), the acceptance of multiple bids in a single auction, and a maximum threshold whereby the auction will terminate at that price point. Due to lack of regulation, the size of the market and the volume of bidders and sellers, Internet auctions are better suited to incorporating algorithms of increased complexity as opposed to the more established procedures at traditional auction houses. For example, while eBay runs what essentially amounts to an English auction with a fixed duration, Swoopo runs what is known as a penny auction, where each bid incurs a fee and also extends the length of the auction by a short amount (10-20 seconds). One way to view an auction is to regard it as the determination of bidders’ valuations by the seller with the hindrance of concealed information from bidders (Cowell, 2006). The value of the object being sold (or lot) can either be the same for everyone and bids will vary according to the accuracy of the information a bidder holds, or each bidder will have his own private valuation that is unaffected by the valuations of those around him, whether known to him or not. The Independent Private Values model (Parsons et al., 2011) include the assumptions of privacy and independence where the value of the commodity in question is private to the individual buyers, and that different buyers do not know the values other buyers attached to the commodity. In addition, these values are drawn from a common distribution, which is known to the buyers. In probabilistic terms, this essentially amounts to a series of values, which are independent and identically distributed. A common distribution used is the uniform distribution. In this paper, through the use of simulations, we show that the results of auctions, measured through metrics such as average auction income and average auction duration, remain largely insensitive to the underlying private value distribution because the auction incomes tend towards a similar value for high bid rates. There has been substantial work done on auctions, with several books written on the topic (Cramton, 2006; Klemperer, 2004; Krishna, 2002; Milgrom, 2004). A stochastic number of bidders are studied in McAfee and McMillian (1987) where first-price sealed-bid auctions having constant absolute risk aversion is analysed. As a result of the stochastic analysis, the authors conclude that the seller should conceal the number of bids in order to maximise the selling price. Stochastic models of bid arrival characteristics are studied in Shmueli et al. (2007) and Russo et al. (2008) where the so-called BARISTA (Bid ARrivals InSTAges) model that makes use of non-homogeneous Poisson process is proposed. The probabilistic and statistical properties of these models are analysed and studied and the usefulness of these models for auction modelling is illustrated and discussed. A stochastic approach to Internet auctions is given in Gelenbe (2009), where bid arrivals also follow a Poisson process, with successive bids increasing in value and the seller’s problem is to decide when it should accept a bid. After each bid, the seller waits for some random decision time to determine whether to accept the offer. If a new bid arrives before that time expires, then the process is repeated for this new bid. However, if a new bid does not arrive before this time expires, then the seller accepts the current bid. If the seller accepts the offer too quickly, then the price obtained may be low with respect to the price that the seller would have received had he or she been more patient. On the other hand, if the seller waits a long time before accepting an offer, a higher price may be obtained but at the expense of wasting more time. After selling the good, the seller rests for some random time before initiating a new auction. Characteristics of this mechanism include decision time, rest time, and maximum bid value. These may be adjusted, which will affect the auction duration. Similarly, in this paper, we simulate the bid arrivals as a Poisson process, and we follow the commonly adopted Independent Private Values approach in which 11 more pages are available in the full version of this document, which may be purchased using the "Add to Cart" button on the product's webpage: www.igi-global.com/article/comparative-evaluationindependent-private-values/63017?camid=4v1 This title is available in InfoSci-Journals, InfoSci-Journal Disciplines Business, Administration, and Management. Recommend this product to your librarian: www.igi-global.com/e-resources/libraryrecommendation/?id=2
独立私人价值分布对网络拍卖绩效的比较评价
独立私人价值(IPV)模型是分析网络拍卖行为的基础,在拍卖行为研究中得到广泛应用。该模型的特征包括隐私和独立性的假设,其中所讨论的商品的价值对单个买家来说是私有的,并且不同的买家不知道其他买家对商品的价值。此外,这些值是从买方所知道的共同分布中得出的。在概率术语中,这基本上相当于一系列独立且分布相同的值。IPV分布的特征和特征将对拍卖行为产生重大影响,由于对其影响的一般随机分析是难以分析的,因此本文使用拍卖过程模拟器研究拍卖行为。研究了硬收盘和软收盘两种形式的网络拍卖。此外,对Vickrey拍卖和多标接受拍卖机制进行了比较和评价。根据实验结果,本文建立了不同拍卖过程参数之间的定量关系,采用合适的IPV分布来模拟不同投标人群体的特征,为优化拍卖绩效提供建议,并为有效的拍卖设计提供策略。DOI: 10.4018 / jeei。2012010105 60国际电子创业与创新学报,3(1),59-71,2012年1 - 3月版权所有©2012,IGI Global。未经IGI Global书面许可,禁止以印刷或电子形式复制或分发。鼓励狙击(竞标者在拍卖结束前提交投标,从而防止其他竞标者提交反投标),在一次拍卖中接受多个投标,并设置拍卖在该价格点终止的最高门槛。由于缺乏监管,市场规模和买家和卖家的数量,互联网拍卖更适合纳入越来越复杂的算法,而不是传统拍卖行更成熟的程序。例如,eBay的拍卖基本上相当于英式拍卖,时间固定,而Swoopo的拍卖则是所谓的一分钱拍卖,每次出价都会产生费用,而且拍卖时间会短暂延长(10-20秒)。看待拍卖的一种方式是将其视为卖方在对投标人隐瞒信息的阻碍下确定投标人的估值(Cowell, 2006)。被出售物品(或地段)的价值可以对每个人都是一样的,出价会根据竞标者掌握的信息的准确性而变化,或者每个竞标者都有自己的私人估值,不受他周围人的估值影响,不管他是否知道。独立私人价值模型(Parsons et al., 2011)包括隐私和独立性的假设,其中所讨论的商品的价值对单个买家来说是私人的,并且不同的买家不知道其他买家对商品的价值。此外,这些值是从一个共同的分布,这是已知的买家。在概率术语中,这基本上相当于一系列独立且分布相同的值。常用的分布是均匀分布。在本文中,通过使用模拟,我们表明,通过平均拍卖收入和平均拍卖持续时间等指标衡量的拍卖结果对潜在的私人价值分布在很大程度上仍然不敏感,因为拍卖收入倾向于高出价率的相似值。在拍卖方面已经有了大量的工作,有几本关于这个主题的书(克拉姆顿,2006;克伦佩雷尔,2004;克里希纳,2002;米格罗姆,2004)。McAfee和McMillian(1987)研究了随机数量的竞标者,其中分析了具有恒定绝对风险厌恶的首价密封竞价。根据随机分析的结果,作者得出结论,卖家应该隐瞒出价的数量,以使售价最大化。Shmueli等人(2007)和Russo等人(2008)研究了出价到达特征的随机模型,其中提出了利用非齐次泊松过程的所谓BARISTA(出价到达InSTAges)模型。分析和研究了这些模型的概率和统计特性,并说明和讨论了这些模型在拍卖建模中的实用性。Gelenbe(2009)给出了一种网络拍卖的随机方法,其中出价也遵循泊松过程,连续的出价增加了价值,卖方的问题是决定何时接受出价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信