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Empirical Evidence Of The Influences On First-Price Bid Auction Premiums

Author

Listed:
  • Abdul ?Rasheed Amidu

    () (Birmingham City University)

  • Alirat Olayinka Agboola

    () (Obafemi Awolowo University)

Abstract

This study examines the determinants of auction premium using data from a first-price sealed bid auction of Federal Government Landed Properties in Nigeria. The results indicate that the number of bidders and location are important determinants of auction price premiums. These findings are consistent with the auction theory. The empirical estimates also suggest that property type as well as bidder characteristics may also influence auction premiums.

Suggested Citation

  • Abdul ?Rasheed Amidu & Alirat Olayinka Agboola, 2009. "Empirical Evidence Of The Influences On First-Price Bid Auction Premiums," International Real Estate Review, Asian Real Estate Society, vol. 12(2), pages 157-170.
  • Handle: RePEc:ire:issued:v:12:n:02:2009:p:157-170
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    References listed on IDEAS

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    1. Ashenfelter, Orley & Genesove, David, 1992. "Testing for Price Anomalies in Real-Estate Auctions," American Economic Review, American Economic Association, vol. 82(2), pages 501-505, May.
    2. Joseph T.L. Ooi & C.F. Sirmans & Geoffrey K. Turnbull, 2006. "Price Formation Under Small Numbers Competition: Evidence from Land Auctions in Singapore," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 34(1), pages 51-76, March.
    3. Chen, An-Sing & Liaw, Gwohorng & Leung, Mark T., 2003. "Stock auction bidding behavior and information asymmetries: An empirical analysis using the discriminatory auction model framework," Journal of Banking & Finance, Elsevier, vol. 27(5), pages 867-889, May.
    4. John P. Harding & Stuart S. Rosenthal & C. F. Sirmans, 2003. "Estimating Bargaining Power in the Market for Existing Homes," The Review of Economics and Statistics, MIT Press, vol. 85(1), pages 178-188, February.
    5. Seow Eng Ong & Kenneth Lusht & Chee Yong Mak, 2005. "Factors Influencing Auction Outcomes: Bidder Turnout, Auction Houses and Market Conditions," Journal of Real Estate Research, American Real Estate Society, vol. 27(2), pages 177-192.
    6. John P. Harding & John R. Knight & C.F. Sirmans, 2003. "Estimating Bargaining Effects in Hedonic Models: Evidence from the Housing Market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 31(4), pages 601-622, December.
    7. Saidi, Reza & Marsden, James R., 1992. "Number of bids, number of bidders and bidding behavior in outer-continental shelf oil lease auction markets," European Journal of Operational Research, Elsevier, vol. 58(3), pages 335-343, May.
    8. Mayer Christopher J., 1995. "A Model of Negotiated Sales Applied to Real Estate Auctions," Journal of Urban Economics, Elsevier, vol. 38(1), pages 1-22, July.
    9. Ching, Stephen & Fu, Yuming, 2003. "Contestability of the urban land market: an event study of Hong Kong land auctions," Regional Science and Urban Economics, Elsevier, vol. 33(6), pages 695-720, October.
    10. Kenneth M. Lusht, 1996. "A Comparison of Prices Brought by English Auctions and Private Negotiations," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 24(4), pages 517-530.
    11. Christopher J. Mayer, 1998. "Assessing the Performance of Real Estate Auctions," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 26(1), pages 41-66.
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    Cited by:

    1. Jin-Ray Lu & Chih-Chiang Huang, 2015. "Identifying Stock Market Reactions to Acquisition Announcements in Taiwan Land Auction," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 5(8), pages 1014-1028, August.
    2. Rosane Hungria-Gunnelin, 2013. "Impact of Number of Bidders on Sale Price of Auctioned Condominium Apartments in Stockholm," International Real Estate Review, Asian Real Estate Society, vol. 16(3), pages 274-295.

    More about this item

    Keywords

    Real estate markets; First-price bid auction; Auction price premium; Nigeria;

    JEL classification:

    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

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