统计研究 ›› 2010, Vol. 27 ›› Issue (3): 59-65.

• 论文 • 上一篇    下一篇

网上拍卖竞买者出价水平的动态演变模式研究

严明义   

  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2010-03-15 发布日期:2010-03-15

Research of Dynamic Pattern of Bidding Price in Online Auctions

Yan Mingyi   

  • Received:1900-01-01 Revised:1900-01-01 Online:2010-03-15 Published:2010-03-15

摘要: 网上拍卖是将传统拍卖与网络相结合的一种新商务模式,是对资源进行有效配置的一种市场机制。尽管有关参与者行为的研究是网上拍卖中的一个重要论题,但是国际上鲜有文献从统计视角对竞买者出价水平的动态演变模式及其变异性进行研究。本文利用函数性数据分析方法及基于MatLab编写的计算程序,对从eBay网站收集到的27个拍卖子类的出价数据进行了分析,结果显示竞买者出价水平的动态演变呈现“c”形模式且其形状随
拍卖的不同特征而变化,“c”形模式变异的两个主要方式是“前期变化”和“后期变化”,其显著变异的时段是拍卖的早期阶段。本文为网上拍卖问题的实证研究引入了新方法并提供了技术支持,所得结论丰富和发展了现有相关研究文献的结论。

关键词: 网上拍卖, 出价水平, 模式, 变异, 函数性数据

Abstract: Online auction, a combination of traditional auction with web, is a new business mode and a market mechanism which allocates resource effectively. Though research on participants’ behavior has been a hot topic in online auctions, few literature deals with dynamic pattern of bidding price and its variations by statistical viewpoint. This paper exploits functional data analysis methods to analyze the bid data of the 27 auction subcategories in eBay using Matlab. The evidence shows that the evolvement of bidding price takes on “c” shaped pattern and its shape changes with the auction characteristics. In addition, the two dominating patterns are “early period variation” and “last period variation”, and the pattern varies significantly in the early period of an auction. The paper introduces new methods for the empirical research on online auction problems and the conclusion in this paper extends and develops the present results. 
 

Key words: online auctions, bidding price, pattern, variation, functional data