IDEAS home Printed from https://ideas.repec.org/a/bla/reesec/v19y1991i1p52-69.html
   My bibliography  Save this article

Determinants of the Rate of Return for Nonresidential Real Estate: Inflation Expectations and Market Adjustment Lags

Author

Listed:
  • Yoon Dokko
  • Robert H. Edelstein
  • Marshall Pomer
  • E. Scott Urdang

Abstract

This paper analyzes the economic forces that determine the real rate of return for nonresidential real estate. Our analysis shows that the intermarket variation in the real rate of return is statistically significant, and the rate of return differs by land use and market area, as well as over time in response to changes in macro‐economic conditions. We use inflation variables as surrogates for changes in macroeconomic conditions over time. In contrast to earlier studies, we find that nonresidential real estate may not outperform expected inflation. We believe that the impact of expected inflation (and other macroeconomic variables) on real estate rates of return depends upon the interaction of the macro‐environment and specific local real estate market conditions. Finally, our empirical evidence suggests that the effects of a given shock dissipate rather quickly in most markets when we take into account locational and property use differences.

Suggested Citation

  • Yoon Dokko & Robert H. Edelstein & Marshall Pomer & E. Scott Urdang, 1991. "Determinants of the Rate of Return for Nonresidential Real Estate: Inflation Expectations and Market Adjustment Lags," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 19(1), pages 52-69, March.
    • Handle: RePEc:bla:reesec:v:19:y:1991:i:1:p:52-69
    DOI: 10.1111/1540-6229.00540
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1540-6229.00540
    Download Restriction: no
    File URL: https://libkey.io/10.1111/1540-6229.00540?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
    ---><---

    Citations

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


    Cited by:

    1. Dirk P.M. De Wit, 1997. "Real Estate Diversification Benefits," Journal of Real Estate Research, American Real Estate Society, vol. 14(2), pages 117-136.
    2. Taderera, Marimo & Akinsomi, Omokolade, 2020. "Is commercial real estate a good hedge against inflation? Evidence from South Africa," Research in International Business and Finance, Elsevier, vol. 51(C).
    3. Doina Chichernea & Norm Miller & Jeff Fisher & Bob White & Michael Sklarz, 2008. "ACross-Sectional Analysis of CapRates by MSA," Journal of Real Estate Research, American Real Estate Society, vol. 30(3), pages 249-292.
    4. Brent W. Ambrose & Hugh O. Nourse, 1993. "Factors Influencing Capitalization Rates," Journal of Real Estate Research, American Real Estate Society, vol. 8(2), pages 221-238.
    5. Terry V. Grissom & James R. DeLisle, 1999. "The Analysis of Real Estate Cycles, Regime Segmentation and Structural Change Using Multiple Indices (or A Multiple Index Analysis of Real Estate Cycles and Structural Change)," Journal of Real Estate Research, American Real Estate Society, vol. 18(1), pages 97-130.
    6. Chun-Chang Lee & Hsueh-Ling Fan, 2016. "The Impact of Administrative Characteristics and Residential Types on Income Capitalization Rates in Taipei, Taiwan," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 6(10), pages 602-619, October.
    7. Stanley D. Smith & Larry R. Woodward, 1996. "The Effect of the Tax Reform Act of 1986 and Regional Economies on Apartment Values," Journal of Real Estate Research, American Real Estate Society, vol. 11(3), pages 259-276.
    8. Yoon Dokko & Robert H. Edelstein & Allan J. Lacayo & Daniel C. Lee, 1999. "Real Estate Income and Value Cycles: A Model of Market Dynamics," Journal of Real Estate Research, American Real Estate Society, vol. 18(1), pages 69-96.
    9. Dirk P.M. De Wit, 1993. "Smoothing Bias in In-House Appraisal-Based Returns of Open-End Real Estate Funds," Journal of Real Estate Research, American Real Estate Society, vol. 8(2), pages 157-170.
    10. Robert Edelstein & Daniel Quan, 2006. "How Does Appraisal Smoothing Bias Real Estate Returns Measurement?," The Journal of Real Estate Finance and Economics, Springer, vol. 32(1), pages 41-60, February.
    11. Maurizio d¡¦Amato & Paola Amoruso, 2018. "Application of a Cyclical Capitalization Model to the London Office Market," International Real Estate Review, Global Social Science Institute, vol. 21(1), pages 113-143.
    12. Stanley D. Smith & Larry R. Woodward & Craig T. Schulman, 2000. "The Effect of the Tax Reform Act of 1986 and Overbuilt Markets on Commercial Office Property Values," Journal of Real Estate Research, American Real Estate Society, vol. 19(3), pages 301-320.

    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:bla:reesec:v:19:y:1991:i:1:p:52-69. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/areueea.html .

    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.