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A System Dynamics Model of Cyclical Office Oversupply

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Abstract

This article explores office market system dynamics through a simple simulation model. Model lag and adjustment parameters similar to real office markets generate explosive cycles. Simulations show that deviations from equilibrium can be reduced by changing the information structure of the system. System dynamics, principle/agent conflicts, a prisoners’ dilemma game, faulty information (poor forecasting, market research and valuation techniques), regulatory institutions, and differing equilibria in office space and financial markets all contribute to allocative inefficiency. Thinking of office markets as a "managed feedback control system" may be a useful representation of the oversupply problem. Leverage points for system improvement may be a municipal "queue" to address agency and prisoner's dilemma problems, improved forecasting techniques and more reliance on forecasting.

Suggested Citation

  • Max Kummerow, 1999. "A System Dynamics Model of Cyclical Office Oversupply," Journal of Real Estate Research, American Real Estate Society, vol. 18(1), pages 233-255.
  • Handle: RePEc:jre:issued:v:18:n:1:1999:p:233-255
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    1. Waldo L. Born & Stephen A. Pyhrr, 1994. "Real Estate Valuation: The Effect of Market and Property Cycles," Journal of Real Estate Research, American Real Estate Society, vol. 9(4), pages 455-486.
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    Cited by:

    1. Gunther Maier & Shanaka Herath, 2009. "Real Estate Market Efficiency: A Survey of Literature," ERES eres2009_155, European Real Estate Society (ERES).
    2. Eddie Chi Man Hui & Ka Hung Yu, 2006. "Simulating Hong Kong’s Office Leasing Market via System Dynamics Modeling," International Real Estate Review, Global Social Science Institute, vol. 9(1), pages 23-43.
    3. Cheng, Yung-Hsiang & Chang, Yu-Hern & Lu, I.J., 2015. "Urban transportation energy and carbon dioxide emission reduction strategies," Applied Energy, Elsevier, vol. 157(C), pages 953-973.
    4. Arango, Santiago & Larsen, Erik, 2011. "Cycles in deregulated electricity markets: Empirical evidence from two decades," Energy Policy, Elsevier, vol. 39(5), pages 2457-2466, May.
    5. Rose Lai & Ko Wang & Jing Yang, 2007. "Stickiness of Rental Rates and Developers’ Option Exercise Strategies," The Journal of Real Estate Finance and Economics, Springer, vol. 34(1), pages 159-188, January.
    6. Olsina, Fernando & Garces, Francisco & Haubrich, H.-J., 2006. "Modeling long-term dynamics of electricity markets," Energy Policy, Elsevier, vol. 34(12), pages 1411-1433, August.

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    JEL classification:

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

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