Spatial aggregation and prediction in the hedonic model
Abstract (Summary)
FULCHER, CHARLES MICHAEL. Spatial Aggregation and Prediction in the Hedonic
Model. (Under the direction of Raymond Palmquist).
Using a data set of Wake County, North Carolina, property sales for the period
1992-2000, this study provides evidence as to the acceptability of spatial aggregation in
hedonic property value models. Both statistical tests and tests based upon prediction errors
are performed in order to identify the circumstances under which aggregation is statistically
acceptable or acceptable from a practical standpoint. This study makes extensive use of
spatial econometric techniques in order to control for the spatial correlation problems which
exist in models where location matters, and discusses the importance of specification and
functional form as determinants of both the acceptability of aggregation and predictive
power. Since multiple specifications and types of models are estimated, this study also
provides guidance as to the type of model or specification providing the best performance
when used to estimate hedonic property value models.
The primary finding of this study is that while statistical tests typically reject aggregation,
the effects of aggregation upon prediction errors is negligible. We would typically
expect less than a 2000 dollar increase in mean absolute prediction error from aggregating
the entire county, while in several cases the out-of-sample predictions would be improved.
Further, in many cases aggregation yields more plausible coefficient values, especially for
less important determinants of property values. These results may indicate that aggregation
is preferable to extensive disaggregation when conducting hedonic property values studies,
especially if one is concerned with the coefficient estimates. I also find that a spatial error
model is typically preferred over OLS and Box-Cox alternatives, even when those alternatives
include additional variables describing the locational characteristics of the properties
and the spatial error model does not.
Spatial Aggregation and Prediction in the Hedonic Model
by
Charles Michael Fulcher
A dissertation submitted to the Graduate Faculty of
North Carolina State University
in partial satisfaction of the
requirements for the Degree of
Doctor of Philosophy
Department of Economics
Raleigh
2003
Bibliographical Information:
Advisor:
School:North Carolina State University
School Location:USA - North Carolina
Source Type:Master's Thesis
Keywords:north carolina state university
ISBN:
Date of Publication: