"No sale" items in auctions: do they really matter?

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 the...

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Bibliographic Details
Published inMarketing letters Vol. 28; no. 1; pp. 155 - 168
Main Authors Alford, Bruce L., Gilley, Otis W., Wood, Charles M., Obilo, Obinna
Format Journal Article
LanguageEnglish
Published New York Springer Science + Business Media 01.03.2017
Springer US
Springer Nature B.V
Subjects
Auctions
Bids
Business and Management
Dependent variables
Electronic commerce
Marketing
Studies
Regression
Tobit
Poisson
Internet auction
Bid
No sale
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Summary: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.
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ISSN:0923-0645
1573-059X
DOI:10.1007/s11002-015-9398-2