网上拍卖品的价格层级与类别对买方出价行为的影响——基于函数性数据聚类方法的分析

发布时间：2018-10-29 13:20

【摘要】：网上拍卖买方出价行为是网上参与者行为研究中的一个重要问题,但现有文献鲜有从统计视角就拍卖品的价格层级与类别对买方出价行为的影响进行研究。本文通过选择拍卖品种类和函数性数据聚类方法,对eBay 26类物品拍卖和中国淘宝网珠宝类拍卖中买方的出价数据进行了函数性聚类分析,研究发现:在拍卖的不同时段,拍卖品的价格层级和类别对买方的出价行为会产生不同的影响,价格层级对买方出价行为的影响在中外网站呈现显著不同的特征。
[Abstract]:Bidding behavior of online auction buyers is an important issue in the research of online participants' behavior. However, few literatures have studied the influence of price levels and categories of auction items on buyer's bid behavior from the statistical point of view. Based on the selection of auction items and the method of functional data clustering, this paper makes a functional clustering analysis on the bid data of eBay 26 items auction and Taobao Jewelry auction in China. The results show that: in different periods of auction, The price level and category of auction products have different effects on the buyer's bid behavior, and the influence of price level on the buyer's bid behavior shows significant differences in Chinese and foreign websites.
【作者单位】：西安交通大学经济与金融学院;
【基金】：国家社会科学基金项目“经济函数性数据分析方法与应用研究”(07XTJ001)资助
【分类号】：F724.59;F224

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