Reference Price Shifts and Customer Antagonism: Evidence from Reviews for Online Auctions
VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy from Verein für Socialpolitik / German Economic Association
Using data from a large-scale sales campaign on eBay, I show that successful auction customers punish the seller through unfavorable public feedback when they later learn discover a cheaper fixed-price offer. The probability of receiving such feedback is four times bigger for auctions than for fixed -price sales of the same item from the same seller. Remarkably, this probability is increasing in the auction price, even though auction customers actively shaped this price themselves. In line with an explanation based on ex-post reference price shifts, this price effect is concentrated in a period during which reference prices were particularly salient because customers information about them, but not about idiosyncratic transaction features (e.g. quality), could change. Consistent with the reference price explanation, the difference in unfavorable feedback between auctions and fixed-price sales is also concentrated in this period and drops to a quarter of its initial size afterwards.
Keywords: customer antagonism; pricing; reference prices; online reputation; eBay (search for similar items in EconPapers)
JEL-codes: D44 D91 M31 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-des, nep-ict and nep-pay
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:zbw:vfsc18:181650
Access Statistics for this paper
More papers in VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy from Verein für Socialpolitik / German Economic Association Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().