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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/105659


    Title: A dynamic model of auctions with buy-it-now: Theory and evidence
    Authors: 陳忠榮;Chen, Jong-Rong;Chen, Kong-Pin;Chou, Chien-Fu;Huang, Ching-I
    Contributors: 管理學院產業經濟研究所
    Keywords: Auction theory;Auctions;Bidding;Dynamic models;Prices;Risk;Search engines;Studies;Taiwan;Valuation
    Date: 2013-06-01
    Issue Date: 2026-04-23 12:45:52 (UTC+8)
    Publisher: Wiley-Blackwell Publishing Ltd;Oxford: Blackwell Publishing Ltd
    Abstract: 摘要: 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 bidders and the optimal BIN price of the seller when they are both risk-averse. The seller is shown to be strictly better off with the BIN option, while the bidders are better off only when their valuation is high enough. The theory also implies that the expected transaction price is higher in an auction with an optimal BIN price than one without a BIN option. This prediction is confirmed by our data collected from Taiwan's Yahoo! auctions.
    其他題名: J Ind Econ
    出版者: Oxford: Blackwell Publishing Ltd
    出版日期: 2013-06
    出處: The Journal of industrial economics, 2013-06, Vol.61 (2), p.393-429
    資源來源: JSTOR Arts and Sciences I
    版權: Copyright © 2013 The Editorial Board of The Journal of Industrial Economics and John Wiley & Sons Ltd.
    版權: 2013 The Editorial Board of The Journal of Industrial Economics and John Wiley & Sons Ltd
    版權: Copyright Blackwell Publishing Ltd. Jun 2013
    識別號: ISSN: 0022-1821
    識別號: EISSN: 1467-6451
    識別號: DOI: 10.1111/joie.12018
    識別號: CODEN: JIEOAF
    Appears in Collections:[Graduate Institute of Industrial Economics] journal & Dissertation

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