Snipe bidding behaviour in eBay auctions
Fusun F. Gonul and
Peter Popkowski Leszczyc
International Journal of Electronic Marketing and Retailing, 2011, vol. 4, issue 1, 16-29
Abstract:
Our research investigates what factors make snipe bidding more likely, whether sniping pays, and how an auction can be designed to minimise sniping. We estimate sniping probability in eBay auctions using multivariate models to examine novel datasets compiled from auctions of the Norelco electric razor and the Sony PlayStation2. Our main results reveal that the winner of an auction is more likely to be a snipe bidder and that a lower ending price increases the likelihood that the winner of an auction is a snipe bidder; everything else held constant. We find that experienced bidders are more likely to engage in sniping behaviour. In addition, we find that an auction designer or a seller can discourage snipe bidding by setting a longer duration and/or a lower (or no) reserve price.
Keywords: choice models; data collection; online auctions; snipe bidding; eBay; sniping probability; multivariate models; novel datasets; Norelco; electric razors; Sony; PlayStation2; computer games; internet; world wide web; lower prices; ending prices; bidders; auction designers; sellers; longer durations; reserve prices; electronic marketing; e-marketing; electronic retailing; e-retailing. (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.inderscience.com/link.php?id=39894 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijemre:v:4:y:2011:i:1:p:16-29
Access Statistics for this article
More articles in International Journal of Electronic Marketing and Retailing from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().