IDEAS home Printed from https://ideas.repec.org/a/taf/rjerxx/v40y2018i2p267-308.html
   My bibliography  Save this article

Optimism-driven Decisions of Real Estate Developers under Demand Uncertainty

Author

Listed:
  • Rui-hui Xu
  • Rose Neng Lai

Abstract

We develop a set of theoretical models to show how differences in real estate developers' optimism about market demand affects construction and sales decisions. The model is a variation of asymmetric Cournot duopoly where developers choose levels of output conditioned on their rivals' output and their own levels of optimism in a stochastic environment. Our results show that optimistic developers construct more housing and hold more inventory when facing higher demand uncertainty. Developers' overconfidence creates value in terms of optimal profit and market share. We also discuss how updating beliefs over multi-periods could turn a pessimistic developer to an optimistic one, and vice versa. The paper thus provides some behavioral insights into puzzling phenomena such as overconfidence, overbuilding, construction timing, and inventory holding.

Suggested Citation

  • Rui-hui Xu & Rose Neng Lai, 2018. "Optimism-driven Decisions of Real Estate Developers under Demand Uncertainty," Journal of Real Estate Research, Taylor & Francis Journals, vol. 40(2), pages 267-308, April.
  • Handle: RePEc:taf:rjerxx:v:40:y:2018:i:2:p:267-308
    DOI: 10.1080/10835547.2018.12091500
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10835547.2018.12091500
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10835547.2018.12091500?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    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:taf:rjerxx:v:40:y:2018:i:2:p:267-308. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/rjer20 .

    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.