摘要
本文利用从eBay网站收集的20个子类物品拍卖数据,通过基于MatLab编写的计算机程序,对竞买者出价来到过程的时段性、自相似性和幂律分布特征进行了研究,结果显示网上拍卖竞买者出价来到过程存在显著的后期出价现象,较长期限的拍卖能够减弱竞买者后期出价现象,且各类别拍卖的"冷淡期"呈现一定的规律;竞买者出价来到过程具有自相似性和幂律分布特征,受一自组织过程的驱动。
With writing programming code based on MatLab and exploiting the bidding datasets of 20 auction subcategories in eBay,this paper analyses the characteristics of stages,self-similarity and power law of bid arrival process. The results show that late bidding exists significantly in online auctions and longer duration of auction may weaken the phenomenon of late bidding,that the icy-period exists in bid arrival process,and that bid arrival process possesses the characteristics of self-similarity and power law driven by a self-organization process which behaves differently in different period of auction.
出处
《当代经济科学》
CSSCI
北大核心
2009年第6期96-105,共10页
Modern Economic Science
基金
国家社会科学基金项目(07XTJ001)资助
西安交通大学"211"三期项目"以战略产业发展为导向的产业经济国家重点学科建设"
关键词
网上拍卖
出价
时段特征
自相似
幂律分布
Online auctions
Bidding
Stage characteristics
Self-similarity
Power law
