The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Signaling, Bidding and the Final Price in the Online Auction Platform Almost Without Information Asymmetry: An Empirical Study on China's Largest B2C Marketplace
Abstract
Business-to-customer (B2C) online auctions differ from customer-to-customer (C2C) online auctions by having much less sellers who have established their reputations. Thus, B2C online auctions face much lower levels of information asymmetry and relies more on seller’s signaling and buyers’ bidding to determine the final price. This paper uses the second-hand product auction data from Jingdong, the largest B2C electronic market in China, to understand the determinants of the final price in B2C online auctions. We find that the signaling from the single seller and the bidding from the buyers can almost fully explain the final price, where the signaling is much more important than the demand side’s bidding, and posting the price of new product selling in the online market is the most effective signaling. These findings are robust after controlling the endogeneity of the number of bidders. Results from Quantile IV Regression further show that the valuation-reference role of the seller’s signaling such as posting the price of new product and the newness levels of the product decreases with the value of product price while the role of bidding behaviors such as the number and the heterogeneity of bidders increases with that value.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The value of reputation on eBay: A controlled experiment
Resnick, P., Zeckhauser, R., Swanson, J., & Lockwood, K. (2006) · Experimental Economics · doi:10.1007/s10683-006-4309-2 · Cited by 1,118
Price, quality, and reputation: evidence from an online field experiment
Jin, G. Z., & Kato, A. (2006) · The RAND Journal of Economics · doi:10.1111/j.1756-2171.2006.tb00067.x · Cited by 326
How Valuable Is a Good Reputation? A Sample Selection Model of Internet Auctions
Livingston, J. A. (2005) · Review of Economics and Statistics · doi:10.1162/0034653054638391 · Cited by 271
Research works printed but not linked: 25
- Christopher P Adams, 2007, Estimating Demand from eBay Prices, International Journal of Industrial Organization, 25, 1213, 10.1016/j.ijindorg.2007.04.008 · DOI
- Sajid Anwar, 2006, Bidding Behavior in Competing Auctions: Evidence from eBay, European Economic Review, 50, 307, 10.1016/j.euroecorev.2004.10.007 · DOI
- Dan Ariely, 2003, Buying, Bidding, Playing, or Competing? Value Assessment and Decision Dynamics in Online Auctions, Journal of Consumer Psychology, 13, 113, 10.1207/s15327663jcp13-1&2_10 · doi:10.1207/s15327663jcp13-1&2_10 · Paper page
- Patrick Bajari, 2003, The Winner's Curse, Reserve Prices, and Endogenous Entry: Empirical Insights from eBay Auctions, The RAND Journal of Economics, 34, 329, 10.2307/1593721 · DOI · Paper page
- 2004, Economic Insights from Internet Auctions, Journal of Economic Literature, 42, 457, 10.1257/0022051041409075 · DOI · Paper page
- R Bapna, 2003, Analysis and Design of Business-to-Consumer Online Auctions, Management Science, 10.1287/mnsc.49.1.85.12754 · DOI
- 10.1287/mnsc.49.1.85.12754 · DOI
- C Davino, 2014, Quantile Regression: Theory and Applications, 10.1002/9781118752685 · DOI
- Micha�l Dewally, 2006, Reputation, Certification, Warranties, and Information as Remedies for Seller-Buyer Information Asymmetries: Lessons from the Online Comic Book Market, The Journal of Business, 79, 693, 10.1086/499169 · DOI · Paper page
- Rodney J Garratt, 2011, Behavior in Second-Price Auctions by Highly Experienced eBay Buyers and Sellers, Experimental Economics, 15, 44, 10.1007/s10683-011-9287-3 · DOI
- Paulo Goes, 2013, Seller Heterogeneity in Electronic Marketplaces: A Study of New and Experienced Sellers in eBay, Decision Support Systems, 56, 247, 10.1016/j.dss.2013.06.007 · DOI
- Raul Gonzalez, 2009, An Analysis of Strategic Behavior in eBay Auctions, The Singapore Economic Review, 54, 441, 10.1142/s0217590809003422 · doi:10.1142/s0217590809003422
- Tanjim Hossain, 2008, Learning by Bidding, The RAND Journal of Economics, 39, 509, 10.1111/j.0741-6261.2008.00025.x · DOI
- Sokbae Lee, 2007, Endogeneity in Quantile Regression Models: A Control Function Approach, Journal of Econometrics, 141, 1131, 10.1016/j.jeconom.2007.01.014 · DOI · Paper page
- Gregory Lewis, 2011, Asymmetric Information , Adverse Selection and Online Disclosure : The Case of eBay Motors, The American Economic Review, 101, 1535, 10.1257/aer.101.4.1535 · DOI · Paper page
- David Lucking-Reiley, 2007, Pennies from EBay, 10.1111/j.1467-6451.2007.00309.x · DOI · Paper page
- James G Mackinnon, 1985, Some Heteroskedasticity-Consistent Covariance Matrix Estimators with Improved Finite Sample Properties, Journal of Econometrics, 29, 90158
- Axel Ockenfels, 2006, Late and Multiple Bidding in Second Price Internet Auctions: Theory and Evidence Concerning Different Rules for Ending an Auction, Games and Economic Behavior, 55, 297, 10.1016/j.geb.2005.02.010 · DOI · Paper page
- Ilke Onur, 2014, Competition, Endogeneity and the Winning Bid: An Empirical Analysis of eBay Auctions, Information Economics and Policy, 26, 68, 10.1016/j.infoecopol.2013.11.003 · DOI
- Popkowski Leszczyc, 2009, Empirical Testing of the Reference-Price Effect of Buy-Now Prices in Internet Auctions, Journal of Retailing, 85, 211
- Rachel A J Pownall, 2013, Bidding Behavior and Experience in Internet Auctions, European Economic Review, 61, 14, 10.1016/j.euroecorev.2013.02.007 · DOI
- Wojtek Przepiorka, 2013, Buyers Pay for and Sellers Invest in a Good Reputation: More Evidence from eBay, The Journal of Socio-Economics, 42, 31, 10.1016/j.socec.2012.11.004 · DOI
- Alvin E Roth, 2002, Last-Minute Bidding and the Rules for Ending Second-Price Auctions: Evidence from eBay and Amazon Auctions on the Internet, American Economic Review, 92, 1093, 10.1257/00028280260344632 · DOI · Paper page
- U Simonsohn, 2008, When Rational Sellers Face Nonrational Buyers: Evidence from Herding on eBay, Management Science, 10.1287/mnsc.1080.0881 · DOI · Paper page
- Stefan T Trautmann, 2010, Reserve Prices as Reference Points -Evidence from Auctions for Football Players at Hattrick.org, Journal of Economic Psychology, 31, 230, 10.1016/j.joep.2009.08.004 · DOI
Metadata
- Authors
- Gao, Y., & Su, W.
- Publisher
- Elsevier BV
- Published
- 2016
- Cited by
- 0
- References
- 3
- Type
- Preprint
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Signaling, Bidding and the Final Price in the Online Auction Platform Almost Without Information Asymmetry: An Empirical Study on China's Largest B2C Marketplace. https://app.cochat.ai/papers/10.2139/ssrn.2885108
- The paper
- Gao, Y., & Su, W. (2016). Signaling, Bidding and the Final Price in the Online Auction Platform Almost Without Information Asymmetry: An Empirical Study on China's Largest B2C Marketplace. https://doi.org/10.2139/ssrn.2885108
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.