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The Information Precision of CBD Office Vacancy Rates

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    Abstract

    Consistent with the rational expectations information model (REIM), the difference among reported area CBD office vacancy rates is proportional to the level of vacancy, inversely proportional to the size of the inventory, and significantly higher when both a national vendor and a local agent make simultaneous reports. Underlying volatility in the market and the cost and difficulty of acquiring information are the principal causes of the information variance. The difficulties and ambiguities in obtaining information are reviewed and the Diamond REIM model is tested using encountered published vacancy rates for central business districts for the period 1985-1989.

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    File URL: http://aux.zicklin.baruch.cuny.edu/jrer/papers/pdf/past/vol08n03/v08p421.pdf
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    Bibliographic Info

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

    Volume (Year): 8 (1993)
    Issue (Month): 3 ()
    Pages: 421-444

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    Handle: RePEc:jre:issued:v:8:n:3:1993:p:421-444

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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. Diamond, Douglas W, 1985. " Optimal Release of Information by Firms," Journal of Finance, American Finance Association, vol. 40(4), pages 1071-94, September.
    2. Terry V. Grissom & Ko Wang & James R. Webb, 1992. "The Spatial Equilibrium of Intra-Regional Rates of Return and the Implications for Real Estate Portfolio Diversification," Journal of Real Estate Research, American Real Estate Society, vol. 7(1), pages 59-72.
    3. John L. Glascock & Shirin Jahanian & C. F. Sirmans, 1990. "An Analysis of Office Market Rents: Some Empirical Evidence," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 18(1), pages 105-119.
    4. Theron R. Nelson & Susan Logan Nelson, 1988. "Franchise Affiliation and Brokerage Firm Selection: A Perceptual Investigation," Journal of Real Estate Research, American Real Estate Society, vol. 3(2), pages 87-107.
    5. Richard Voith & Theodore Crone, 1988. "National Vacancy Rates and the Persistence of Shocks in U.S. Office Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 16(4), pages 437-458.
    6. James R. Frew & G. Donald Jud, 1988. "The Vacancy Rate and Rent Levels in the Commercial Office Market," Journal of Real Estate Research, American Real Estate Society, vol. 3(1), pages 1-8.
    7. Brennan, Michael J & Hughes, Patricia J, 1991. " Stock Prices and the Supply of Information," Journal of Finance, American Finance Association, vol. 46(5), pages 1665-91, December.
    8. Capozza, Dennis R & Schwann, Gregory M, 1990. "The Value of Risk in Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 3(2), pages 117-40, June.
    9. M. Atef Sharkawy, 1990. "Evaluating Spatiotemporal Consistency of Secondary Office Market Data," Journal of Real Estate Research, American Real Estate Society, vol. 5(3), pages 341-354.
    10. 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.
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    Cited by:
    1. Gunther Maier & Shanaka Herath, 2009. "Real Estate Market Efficiency: A Survey of Literature," SRE-Disc sre-disc-2009_07, Institute for the Environment and Regional Development, Department of Socioeconomics, Vienna University of Economics and Business.
    2. Leon Shilton, 1998. "Patterns of Office Employment Cycles," Journal of Real Estate Research, American Real Estate Society, vol. 15(3), pages 339-354.

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