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Coping with Technological Change: The Case of Retail


  • Colwell, Peter F
  • Ramsland, Maxwell O, Jr


Functional obsolescence in real estate occurs because of technological change. A theoretical model suggests that the early years of building life are characterized by functional obsolescence that is undiminished by reinvestment ("cures" in appraisal terminology). Later, observable functional obsolescence is eliminated by cures. A national, proprietary data set consisting of department store sales is utilized to test these propositions. The test is structured within a hedonic model in which the effect of age represents functional obsolescence and technological change, while other variables control for physical condition and location quality. The empirical results do not permit the rejection of the hypotheses developed from the theory. The measured rate of technological change in retail real estate is 1.7 percent per annum. Copyright 2003 by Kluwer Academic Publishers

Suggested Citation

  • Colwell, Peter F & Ramsland, Maxwell O, Jr, 2003. "Coping with Technological Change: The Case of Retail," The Journal of Real Estate Finance and Economics, Springer, vol. 26(1), pages 47-63, January.
  • Handle: RePEc:kap:jrefec:v:26:y:2003:i:1:p:47-63

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    References listed on IDEAS

    1. Kiefer, Nicholas M, 1988. "Economic Duration Data and Hazard Functions," Journal of Economic Literature, American Economic Association, vol. 26(2), pages 646-679, June.
    2. Anupam Nanda, 2005. "Property Condition Disclosure Law: Does 'Seller Tell All' Matter in Property Values?," Working papers 2005-47, University of Connecticut, Department of Economics, revised Jul 2006.
    3. Arellano, Manuel & Honore, Bo, 2001. "Panel data models: some recent developments," Handbook of Econometrics,in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 53, pages 3229-3296 Elsevier.
    4. Peter Kennedy, 2003. "A Guide to Econometrics, 5th Edition," MIT Press Books, The MIT Press, edition 5, volume 1, number 026261183x, January.
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    Cited by:

    1. Jack Corgel & Crocker Liu & Robert White, 2015. "Determinants of Hotel Property Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 51(3), pages 415-439, October.
    2. Jonathan Wiley & Douglas Walker, 2011. "Casino Revenues and Retail Property Values: The Detroit Case," The Journal of Real Estate Finance and Economics, Springer, vol. 42(1), pages 99-114, January.
    3. Harris Hollans & Richard Martin & Henry Munneke, 2013. "Measuring Price Behavior in New Residential Subdivisions," The Journal of Real Estate Finance and Economics, Springer, vol. 47(2), pages 227-242, August.
    4. John Corgel, 2007. "Technological Change as Reflected in Hotel Property Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 34(2), pages 257-279, February.
    5. Florenz Plassmann & T. Nicolaus Tideman, 2003. "A Framework for Assessing the Value of Downtown Land," Working Papers e07-5, Virginia Polytechnic Institute and State University, Department of Economics.

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