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Econometric Integration of Real Estate's Space and Capital Markets

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Abstract

This study presents the Real Estate Econometric Forecast Model (REEFM), a pooled recursive system that integrates real estate’s space and capital markets. The REEFM is empirically estimated using data from fifty-one metropolitan office markets over the years 1985–96. The core of the REEFM consists of six stochastic equations for each property type. These six equations predict occupancy, real rents, capitalization rates, market value per square foot, net change in stock and real construction costs. The model also produces synthetic investment return series called Implied Market Returns that can be used to guide investment acquisition activity and assess the representativeness of other investment returns.

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  • Timothy W. Viezer, 1999. "Econometric Integration of Real Estate's Space and Capital Markets," Journal of Real Estate Research, American Real Estate Society, vol. 18(3), pages 503-519.
    • Handle: RePEc:jre:issued:v:18:n:3:1999:p:503-519
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    Cited by:

    1. Joseph DeSalvo, 2017. "Teaching the DiPasquale-Wheaton Model," Working Papers 0117, University of South Florida, Department of Economics.
    2. Fuerst, Franz, 2006. "Predictable or Not? Forecasting Office Markets with a Simultaneous Equation Approach," MPRA Paper 5262, University Library of Munich, Germany.
    3. Patric H. Hendershott & Bryan D. MacGregor, 2003. "Investor Rationality: Evidence from UK Property Capitalization Rates," NBER Working Papers 9894, National Bureau of Economic Research, Inc.
    4. Franz Fuerst, 2004. "Forecasting the Manhattan office market with a simultaneous equation model," Urban/Regional 0410006, University Library of Munich, Germany.

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    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

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