A dynamic model of auctions with buy-it-now: theory and evidence
AbstractIn the ascending-price auctions with Yahoo!-type buy-it-now (BIN), we characterize and derive the closed-form solution for the optimal bidding strategy of the bidder and the optimal BIN price of the seller when they are both risk-averse. The seller is shown to be strictly better o with the BIN option, while the bidders are better o only when their valuation is greater than a threshold value. The theory also implies that the expected transaction price is higher in an auction with an optimal BIN price than one without a BIN. This prediction is conrmed by our data collected from Taiwan's Yahoo! auctions of Nikon digital cameras.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 38371.
Date of creation: 03 Apr 2006
Date of revision: 24 Nov 2011
online auction; but-it-now; risk-aversion;
Other versions of this item:
- Jong-Rong Chen & Kong-Pin Chen & Chien-Fu Chou & Ching-I Huang, 2013. "A Dynamic Model of Auctions with Buy-It-Now: Theory and Evidence," Journal of Industrial Economics, Wiley Blackwell, vol. 61(2), pages 393-429, 06.
- L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
- D44 - Microeconomics - - Market Structure and Pricing - - - Auctions
- D02 - Microeconomics - - General - - - Institutions: Design, Formation, and Operations
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Anna Dodonova & Yuri Khoroshilov, 2004. "Anchoring and transaction utility: evidence from on-line auctions," Applied Economics Letters, Taylor & Francis Journals, vol. 11(5), pages 307-310.
- Timothy Mathews, 2004. "The Impact of Discounting on an Auction with a Buyout Option: a Theoretical Analysis Motivated by eBay’s Buy-It-Now Feature," Journal of Economics, Springer, vol. 81(1), pages 25-52, 01.
- Axel Ockenfels & David Reiley & Abdolkarim Sadrieh, 2006. "Online Auctions," NBER Working Papers 12785, National Bureau of Economic Research, Inc.
- Luis Cabral & Ali Hortacsu, 2006. "The Dynamics of Seller Reputation: Evidence from eBay," Working Papers 06-32, New York University, Leonard N. Stern School of Business, Department of Economics.
- René Kirkegaard & Per Baltzer Overgaard, 2008. "Buy-out prices in auctions: seller competition and multi-unit demands," RAND Journal of Economics, RAND Corporation, vol. 39(3), pages 770-789.
- Haruvy, Ernan & Popkowski Leszczyc, Peter T. L., 2010. "Internet Auctions," Foundations and Trends(R) in Marketing, now publishers, vol. 4(1), pages 1-75, March.
- Stanley Reynolds & John Wooders, 2009.
"Auctions with a buy price,"
Springer, vol. 38(1), pages 9-39, January.
- John Wooders & Stanley S. Reynolds, 2004. "Auctions with a Buy Price," Econometric Society 2004 North American Summer Meetings 130, Econometric Society.
- Xin Wang & Alan Montgomery & Kannan Srinivasan, 2008. "When auction meets fixed price: a theoretical and empirical examination of buy-it-now auctions," Quantitative Marketing and Economics, Springer, vol. 6(4), pages 339-370, December.
- Yin, Pai-Ling, 2007. "Empirical tests of information aggregation," International Journal of Industrial Organization, Elsevier, vol. 25(6), pages 1179-1189, December.
- Yingyao Hu & Matthew Shum, 2007.
"Estimating First-Price Auctions with an Unknown Number of Bidders: A Misclassification Approach,"
Economics Working Paper Archive
541, The Johns Hopkins University,Department of Economics.
- An, Yonghong & Hu, Yingyao & Shum, Matthew, 2010. "Estimating first-price auctions with an unknown number of bidders: A misclassification approach," Journal of Econometrics, Elsevier, vol. 157(2), pages 328-341, August.
- Jeffrey A. Livingston, 2005. "How Valuable Is a Good Reputation? A Sample Selection Model of Internet Auctions," The Review of Economics and Statistics, MIT Press, vol. 87(3), pages 453-465, August.
- Timothy Mathews & Brett Katzman, 2006. "The role of varying risk attitudes in an auction with a buyout option," Economic Theory, Springer, vol. 27(3), pages 597-613, 04.
- James H. Stock & Motohiro Yogo, 2002. "Testing for Weak Instruments in Linear IV Regression," NBER Technical Working Papers 0284, National Bureau of Economic Research, Inc.
- Giuseppe Lopomo, 2004.
"The English Auction Is Optimal Among Simple Sequential Auctions,"
122247000000000369, UCLA Department of Economics.
- Lopomo, Giuseppe, 1998. "The English Auction Is Optimal Among Simple Sequential Auctions," Journal of Economic Theory, Elsevier, vol. 82(1), pages 144-166, September.
- Patrick Bajari & Ali Horta�su, 2004. "Economic Insights from Internet Auctions," Journal of Economic Literature, American Economic Association, vol. 42(2), pages 457-486, June.
- Daniel Houser & John Wooders, 2006. "Reputation in Auctions: Theory, and Evidence from eBay," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 15(2), pages 353-369, 06.
- Chen, Kong-Pin & Liu, Yu-Sheng & Yu, Ya-Ting, 2012. "The Seller's listing strategy in online auctions: evidence from eBay," MPRA Paper 38369, University Library of Munich, Germany.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ekkehart Schlicht).
If references are entirely missing, you can add them using this form.