IDEAS home Printed from https://ideas.repec.org/a/gam/jjrfmx/v11y2018i3p41-d158093.html
   My bibliography  Save this article

Bidding Behavior in the Housing Market under Different Market Regimes

Author

Listed:
  • Jon Olaf Olaussen

    (NTNU Business School, Norwegian University of Science and Technology, 7004 Trondheim, Norway)

  • Are Oust

    (NTNU Business School, Norwegian University of Science and Technology, 7004 Trondheim, Norway)

  • Ole Jakob Sønstebø

    (NTNU Business School, Norwegian University of Science and Technology, 7004 Trondheim, Norway)

Abstract

The aim of this paper is to investigate whether different market regimes affect bidding behavior in housing auctions. Taking advantage of special circumstances in the Norwegian housing market in 2015 and 2016, we conduct a survey involving 1803 respondents in three of Norway’s largest cities, Oslo, Stavanger and Trondheim. In the Norwegian housing market 90 percent of dwellings are sold after an English auction. Norway has a rather homogeneous market, with the same laws, traditions, interest rates and approximately the same tax rates applying across the country. However, in December 2016, the two-year nominal house price increase was 34.8 percent in Oslo and 14.8 percent in Trondheim, whereas prices fell 7.8 percent over the same period in Stavanger. We find that households in booming housing markets appear to believe that a more aggressive bidding strategy is advisable to obtain a dwelling at the lowest possible price, compared with households in bust markets. Evidence suggesting that bidders in booming markets are less likely to decide on a maximum price limit before an auction commences substantiates this finding. In addition, we find that bidders in booming markets have a weaker reliance on real estate agents.

Suggested Citation

  • Jon Olaf Olaussen & Are Oust & Ole Jakob Sønstebø, 2018. "Bidding Behavior in the Housing Market under Different Market Regimes," JRFM, MDPI, vol. 11(3), pages 1-13, July.
    • Handle: RePEc:gam:jjrfmx:v:11:y:2018:i:3:p:41-:d:158093
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1911-8074/11/3/41/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1911-8074/11/3/41/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Karl E. Case & Robert J. Shiller & Anne K. Thompson, 2012. "What Have They Been Thinking? Homebuyer Behavior in Hot and Cold Markets," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 43(2 (Fall)), pages 265-315.
    2. David Grether & David Porter & Matthew Shum, 2011. "Intimidation or Impatience? Jump Bidding in On-line Ascending Automobile Auctions," Working Papers 11-07, Chapman University, Economic Science Institute.
    3. Isaac, R. Mark & Salmon, Timothy C. & Zillante, Arthur, 2007. "A theory of jump bidding in ascending auctions," Journal of Economic Behavior & Organization, Elsevier, vol. 62(1), pages 144-164, January.
    4. Michael J. Fishman, 1988. "A Theory of Preemptive Takeover Bidding," RAND Journal of Economics, The RAND Corporation, vol. 19(1), pages 88-101, Spring.
    5. Christopher Avery, 1998. "Strategic Jump Bidding in English Auctions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 185-210.
    6. William Vickrey, 1961. "Counterspeculation, Auctions, And Competitive Sealed Tenders," Journal of Finance, American Finance Association, vol. 16(1), pages 8-37, March.
    7. R. Isaac & Timothy Salmon & Arthur Zillante, 2005. "An experimental test of alternative models of bidding in ascending auctions," International Journal of Game Theory, Springer;Game Theory Society, vol. 33(2), pages 287-313, June.
    8. Rosane Hungria-Gunnelin, 2013. "Impact of Number of Bidders on Sale Price of Auctioned Condominium Apartments in Stockholm," International Real Estate Review, Global Social Science Institute, vol. 16(3), pages 274-295.
    9. George A. Akerlof & Robert J. Shiller, 2010. "Animal Spirits: How Human Psychology Drives the Economy, and Why It Matters for Global Capitalism," Economics Books, Princeton University Press, edition 1, number 9163.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mihail Busu & Cristian Busu, 2021. "Detecting Bid-Rigging in Public Procurement. A Cluster Analysis Approach," Administrative Sciences, MDPI, vol. 11(1), pages 1-14, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Khoroshilov, Yuri, 2012. "Preemptive bidding in takeover auctions with affiliated values," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(4), pages 395-401.
    2. David Grether & David Porter & Matthew Shum, 2011. "Intimidation or Impatience? Jump Bidding in On-line Ascending Automobile Auctions," Working Papers 11-07, Chapman University, Economic Science Institute.
    3. Delnoij, Joyce & Rezaei, Sarah & Rijt, Arnout van de, 2023. "Jump bidding does not reduce prices: Field-experimental evidence from online auctions," Journal of Economic Behavior & Organization, Elsevier, vol. 209(C), pages 308-325.
    4. Ricardo Gonçalves & John D Hey, 2007. "Experimental Evidence on English Auctions: Oral Outcry vs. Clock," Discussion Papers 07/09, Department of Economics, University of York.
    5. Dodonova, Anna & Khoroshilov, Yuri, 2020. "Preemptive bidding in common value takeover auctions: Social surplus and the target’s revenue," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    6. Carpenter, Jeffrey & Holmes, Jessica & Matthews, Peter Hans, 2011. "Jumping and sniping at the silents: Does it matter for charities?," Journal of Public Economics, Elsevier, vol. 95(5), pages 395-402.
    7. Lim, Wooyoung & Xiong, Siyang, 2021. "Does jump bidding increase sellers’ revenue? Theory and experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 84-110.
    8. Moresi, Serge, 2000. "Information acquisition and research differentiation prior to an open-bid auction1," International Journal of Industrial Organization, Elsevier, vol. 18(5), pages 723-746, July.
    9. Andrew M. Davis & Elena Katok & Anthony M. Kwasnica, 2014. "Should Sellers Prefer Auctions? A Laboratory Comparison of Auctions and Sequential Mechanisms," Management Science, INFORMS, vol. 60(4), pages 990-1008, April.
    10. Marie BLUM & Régis BLAZY, 2021. "The three stages of an auction: how do the bid dynamics influence auction prices? Evidence from live art auctions," Working Papers of LaRGE Research Center 2021-10, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
    11. Cramton, Peter C, 1995. "Money Out of Thin Air: The Nationwide Narrowband PCS Auction," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 4(2), pages 267-343, Summer.
    12. David Ettinger & Fabio Michelucci, 2016. "Creating a winner’s curse via jump bids," Review of Economic Design, Springer;Society for Economic Design, vol. 20(3), pages 173-186, September.
    13. Koptyug, Nikita, 2016. "Asymmetric Information in Auctions: Are Resellers Better Appraisers?," Working Paper Series 1110, Research Institute of Industrial Economics.
    14. Freeman, David J. & Kimbrough, Erik O. & Reiss, J. Philipp, 2020. "Opportunity cost, inattention and the bidder’s curse," European Economic Review, Elsevier, vol. 129(C).
    15. Philipp Herrmann & Dennis O. Kundisch & Mohammad S. Rahman, 2013. "To Bid or Not to Bid Aggressively? An Empirical Study," Working Papers Dissertations 08, Paderborn University, Faculty of Business Administration and Economics.
    16. David Ettinger & Fabio Michelucci, 2016. "Hiding Information in Open Auctions with Jump Bids," Economic Journal, Royal Economic Society, vol. 126(594), pages 1484-1502, August.
    17. Isaac, R. Mark & Salmon, Timothy C. & Zillante, Arthur, 2007. "A theory of jump bidding in ascending auctions," Journal of Economic Behavior & Organization, Elsevier, vol. 62(1), pages 144-164, January.
    18. Pallab Sanyal, 2016. "Characteristics and Economic Consequences of Jump Bids in Combinatorial Auctions," Information Systems Research, INFORMS, vol. 27(2), pages 347-364, June.
    19. Wedad J. Elmaghraby & Elena Katok & Natalia Santamaría, 2012. "A Laboratory Investigation of Rank Feedback in Procurement Auctions," Manufacturing & Service Operations Management, INFORMS, vol. 14(1), pages 128-144, January.
    20. Anthony M. Kwasnica & Katerina Sherstyuk, 2013. "Multiunit Auctions," Journal of Economic Surveys, Wiley Blackwell, vol. 27(3), pages 461-490, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jjrfmx:v:11:y:2018:i:3:p:41-:d:158093. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.