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The Rent Adjustment Process and the Structural Vacancy Rate in the Commercial Real Estate Market

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    Abstract

    Existing studies of the office-rent adjustment process employ empirical model specifications that assume an intertemporally constant structural vacancy rate. Such specifications, however, contradict prevailing theoretical definitions of the latter which point towards its intertemporal variability. Against this background, this study extends the traditional rent adjustment specifications to account for an intertemporal variable structural vacancy rate. The empirical results suggest that the extended model may be more appropriate than the traditional one in explaining office rent changes during the period 1980-1988. They also suggest that the structural vacancy rate may indeed vary both through time and across markets.

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    File URL: http://aux.zicklin.baruch.cuny.edu/jrer/papers/pdf/past/vol13n02/v13p195.pdf
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    Bibliographic Info

    Article provided by American Real Estate Society in its journal Journal of Real Estate Research.

    Volume (Year): 13 (1997)
    Issue (Month): 2 ()
    Pages: 195-210

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    Handle: RePEc:jre:issued:v:13:n:2:1997:p:195-210

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    Postal: American Real Estate Society Clemson University School of Business & Behavioral Science Department of Finance 401 Sirrine Hall Clemson, SC 29634-1323
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    Web page: http://www.aresnet.org/

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    Postal: Diane Quarles American Real Estate Society Manager of Member Services Clemson University Box 341323 Clemson, SC 29634-1323
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    Web: http://aux.zicklin.baruch.cuny.edu/jrer/about/get.htm

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    1. John S. Hekman, 1985. "Rental Price Adjustment and Investment in the Office Market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 13(1), pages 32-47.
    2. Shilling, James D. & Sirmans, C. F. & Corgel, John B., 1987. "Price adjustment process for rental office space," Journal of Urban Economics, Elsevier, vol. 22(1), pages 90-100, July.
    3. Eubank, Arthur A, Jr & Sirmans, C F, 1979. "The Price Adjustment Mechanism for Rental Housing in the United States," The Quarterly Journal of Economics, MIT Press, vol. 93(1), pages 163-68, February.
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    Cited by:
    1. Yavas, Abdullah, 2001. "Resolution of Demand Uncertainty and Competitive Rent Adjustment," Journal of Housing Economics, Elsevier, vol. 10(4), pages 472-481, December.
    2. Francois Des Rosiers & Marius Theriault & Laurent Menetrier, 2005. "Spatial Versus Non-Spatial Determinants of Shopping Center Rents: Modeling Location and Neighborhood-Related Factors," Journal of Real Estate Research, American Real Estate Society, vol. 27(3), pages 293-320.
    3. Robert Edelstein & Desmond Tsang, 2007. "Dynamic Residential Housing Cycles Analysis," The Journal of Real Estate Finance and Economics, Springer, vol. 35(3), pages 295-313, October.
    4. V.Atilla Oven & Dilek Pekdemir, 2004. "A comparison between office rent determinants of Istanbul and other major metropolitan areas," ERSA conference papers ersa04p166, European Regional Science Association.
    5. Dirk Brounen & Maarten Jennen, 2009. "Asymmetric Properties of Office Rent Adjustment," The Journal of Real Estate Finance and Economics, Springer, vol. 39(3), pages 336-358, October.
    6. Capone, Charles Jr. & Goldberg, Lawrence, 2001. "Renter Mobility and Multifamily Mortgage Default Risk," Journal of Housing Economics, Elsevier, vol. 10(1), pages 21-40, March.
    7. Barrett A. Slade, 2000. "Office Rent Determinants during Market Decline and Recovery," Journal of Real Estate Research, American Real Estate Society, vol. 20(3), pages 357-380.
    8. Peter Colwell & Henry Munneke, 2006. "Bargaining Strength and Property Class in Office Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 33(3), pages 197-213, November.

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