Using Latent Root Regression to Identify Nonpredictive Collinearity in Statistical Appraisal Models
作者:
Alan K. Reichert,
James S. Moore,
期刊:
Real Estate Economics
(WILEY Available online 1986)
卷期:
Volume 14,
issue 1
页码: 136-152
ISSN:1080-8620
年代: 1986
DOI:10.1111/1540-6229.00373
出版商: Blackwell Publishing Ltd
数据来源: WILEY
摘要:
The objective of this study is to examine the potential benefits of using latent root regression techniques to improve the stability of appraisal coefficients (hedonic prices) over time. Another related objective is to more clearly identify the nature and implications of collinearity present in most appraisal models. The results indicate that the majority of the collinearity present in the data is of a predictive nature, hence latent root techniques will likely show little or no improvement over OLS models.
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