“No sale” items in auctions: do they really matter?

详细信息    查看全文

• 作者：Bruce L. Alford ; Otis W. Gilley ; Charles M. Wood ; Obinna Obilo
• 关键词：Internet auction ; No sale ; Bid ; Poisson ; Tobit ; Regression
• 刊名：Marketing Letters
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：28
• 期：1
• 页码：155-168
• 全文大小：
• 刊物类别：Business and Economics
• 刊物主题：Marketing;
• 出版者：Springer US
• ISSN：1573-059X
• 卷排序：28

文摘

Research interest in auctions has grown steadily in nearly every business discipline because of the distinctive constructs and processes that the data analyses yield. Auction data present researchers with a particular challenge because of the presence of no sale items. Researchers have varied in their accommodation of no sale items and the analysis technique, which may lead to biases in the analyses. The first question is how should no sale items be treated? To address this, the type of data generated by auctions must be examined, since various methods handle no sale items differently. Additional questions are: What analysis technique is preferred for this type of data? What is the effect of using other analysis techniques? The results suggest that including no sale items improves estimation accuracy. Also, we found that using ordinary least squares with censored data provides results that are much better than using truncated data.