The seller's listing strategy in online auctions: Evidence from eBay
Kong-Pin Chen (),
Hung-pin Lai () and
International Journal of Industrial Organization, 2018, vol. 56, issue C, 107-144
This paper studies the seller's online listing strategy and its consequences. By focusing on the fixed-price posting, buy-it-now auction and regular auction, we empirically investigate how the sellers choose the listing format and its associated strategic instruments to better understand their strategic behavior. An empirical model that addresses plausible concerns about sample selection bias and endogeneity is constructed to capture a seller's strategic behavior and examine how auction outcomes are related to this behavior. Based on the estimated model, we then conduct a counterfactual analysis. We find a tradeoff between the expected revenue and sale duration for the three listing formats.
Keywords: Online auction; Listing strategy; Auction outcome; Endogeneity; Special regressor; Counterfactual analysis (search for similar items in EconPapers)
JEL-codes: L11 D43 D44 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
Working Paper: The Seller's listing strategy in online auctions: evidence from eBay (2012)
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:eee:indorg:v:56:y:2018:i:c:p:107-144
Access Statistics for this article
International Journal of Industrial Organization is currently edited by P. Bajari, B. Caillaud and N. Gandal
More articles in International Journal of Industrial Organization from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().