EconPapers    
Economics at your fingertips  
 

A dynamic model of auctions with buy-it-now: theory and evidence

Jong-Rong Chen (), Kong-Pin Chen, Chien-Fu Chou and Ching-I Huang

MPRA Paper from University Library of Munich, Germany

Abstract: In 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.

Keywords: online auction; but-it-now; risk-aversion (search for similar items in EconPapers)
JEL-codes: D02 D44 L81 (search for similar items in EconPapers)
Date: 2006-04-03, Revised 2011-11-24
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/38371/1/MPRA_paper_38371.pdf original version (application/pdf)

Related works:
Journal Article: A Dynamic Model of Auctions with Buy-It-Now: Theory and Evidence (2013) Downloads
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:pra:mprapa:38371

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2025-03-30
Handle: RePEc:pra:mprapa:38371