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The Optimal Listing Strategies In Online Auctions

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  • Kong‐Pin Chen
  • Szu‐Hsien Ho
  • Chi‐Hsiang Liu
  • Chien‐Ming Wang

Abstract

This article proposes a unified framework to completely characterize the seller's optimal listing strategy in the online auction as a function of her rate of time impatience. Specifically, the fixed‐price listing, the regular auction, and the buy‐it‐now (BIN) auction are each a solution of the seller's single optimization problem under different values of the rate of intertemporal discount: The perfectly patient seller adopts the regular auction, the sellers with a medium range of time impatience adopt the BIN auction, and the most impatient of sellers adopt the fixed‐price listing. Moreover, under mild conditions, the reverse price is inversely related to the value of the seller's discount factor, either within or across formats. This in turn implies that the posted price in the fixed‐price sale is greater than the reserve price of the BIN auction, followed by that of the regular auction. These predictions offer clear empirical implications.

Suggested Citation

  • Kong‐Pin Chen & Szu‐Hsien Ho & Chi‐Hsiang Liu & Chien‐Ming Wang, 2017. "The Optimal Listing Strategies In Online Auctions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 58(2), pages 421-437, May.
    • Handle: RePEc:wly:iecrev:v:58:y:2017:i:2:p:421-437
    DOI: 10.1111/iere.12222
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    References listed on IDEAS

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    Cited by:

    1. Alexander Maslov, 2023. "Auctions versus posted prices in the revenue management of limited inventory," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(3), pages 1476-1490, April.

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