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A Neural Network Analysis of the Effect of Age on Housing Values

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Author Info
A. Quang Do (Department of Finance San Diego State University San Diego, California 92182)
G. Grudnitski (School of Accountancy San Diego State University San Diego, California 92182)
Abstract

Empirical studies using multiple regression find the value of a residential property declines with its age. Because these results confirm the fact of physical deterioration of a house over time, little attention is paid to the statistical technique's inherent shortcomings. Accordingly, this paper uses a neural network, which is able to overcome multiple regression's methodological problems, to re-examine the effect of age on a house's value. We find that a negative relationship of value to age holds only for the first sixteen to twenty years of the life of a house. Then, not only does the decline in value stop, but a house actually starts to experience appreciation related, in part, to its lot size.

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File URL: http://aux.zicklin.baruch.cuny.edu/jrer/papers/pdf/past/vol08n02/v08p253.pdf
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Publisher Info
Article provided by American Real Estate Society in its journal Journal of Real Estate Research.

Volume (Year): 8 (1993)
Issue (Month): 2 ()
Pages: 253-264
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Handle: RePEc:jre:issued:v:8:n:2:1993:p:253-264

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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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Postal: Diane Quarles American Real Estate Society Manager of Member Services Clemson University Box 341323 Clemson, SC 29634-1323
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Find related papers by JEL classification:
L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

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  1. Nghiep Nguyen & Al Cripps, 2001. "Predicting Housing Value: A Comparison of Multiple Regression Analysis and Artificial Neural Networks," Journal of Real Estate Research, American Real Estate Society, vol. 22(3), pages 313-336. [Downloadable!]
  2. R. Kelley Pace, 1998. "Appraisal Using Generalized Additive Models," Journal of Real Estate Research, American Real Estate Society, vol. 15(1), pages 77-100. [Downloadable!]
  3. Steven Peterson & Albert B. Flanagan, 2009. "Neural Network Hedonic Pricing Models in Mass Real Estate Appraisal," Journal of Real Estate Research, American Real Estate Society, vol. 31(2), pages 147-164. [Downloadable!]
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