IDEAS home Printed from
   My bibliography  Save this paper

Rushing to Overpay: The REIT Premium Revisited


  • S. Nuray Akin

    (Department of Economics, University of Miami)

  • Val E. Lambson

    (Department of Economics, Brigham Young University)

  • Grant R. McQueen

    (Marriott School, Brigham Young University)

  • Brennan Platt

    (Department of Economics, Brigham Young University)

  • Barrett A. Slade

    () (Marriott School, Brigham Young University)

  • Justin Wood

    (Marriott School, Brigham Young University)


We explore the questions of whether and why Real Estate Investment Trusts (REITs) pay more for real estate than non-REIT buyers, consequently breaking the law of one price. We develop a model where REITs optimally pay more for property because (1) they are able, due to capital access advantages and, (2) are occasionally compelled, due to regulatory time constraints on the deployment of capital. We show that the typically large (20 to 60 percent) and statistically significant (p-values less than 0.01) REIT-buyer premiums found in standard empirical hedonic pricing models are biased due to unobserved explanatory variables. Using a repeat-transaction methodology that controls for unobserved independent variables, we find the REIT-buyer premium to be about 5 percent. Furthermore, we show that REITs¿ ability (as measured by access to capital markets) and regulator compulsion (as measured by capital deployment deadlines) are related to the price premium.

Suggested Citation

  • S. Nuray Akin & Val E. Lambson & Grant R. McQueen & Brennan Platt & Barrett A. Slade & Justin Wood, 2011. "Rushing to Overpay: The REIT Premium Revisited," Working Papers 2011-1, University of Miami, Department of Economics.
  • Handle: RePEc:mia:wpaper:2011-1

    Download full text from publisher

    File URL:
    File Function: First version, 2011
    Download Restriction: no

    More about this item


    Real Estate Investment Trusts (REITs); commercial properties; hedonic price analysis; repeat transactions; market efficiency; law of one price; price premium;

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • R33 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Nonagricultural and Nonresidential Real Estate Markets
    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:mia:wpaper:2011-1. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher Parmeter). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.