Do bidders compensate for shipping fees in online auctions?

Hou, Jianwei; Blodgett, Jeffrey G.

doi:10.1108/08876041211257918

Cited by 3 publications

(1 citation statement)

References 50 publications

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“…The economics literature has a long and rich history of research involving traditional auctions. In recent years, marketing researchers have used online auction data to study a number of phenomena in a wide array of product categories (e.g., Cheema et al 2012;Haruvy and Leszczyc 2010;Hou and Blodgett 2012;Jap 2003;Häubl and Leszczyc 2003;Kamins et al 2004;Li et al 2009;Massad and Tucker 2000;Leszczyc and Häubl 2010;Sinha and Greenleaf 2000;Weinberg and Davis 2005;Dholakia et al 2002).…”

Section: Introductionmentioning

confidence: 98%

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

et al. 2015

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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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