Using geographically weighted regression to detect housing submarkets: modeling large-scale spatial variations in value

Authors

Richard A. Borst, Tyler Technologies
William J. McCluskey, University of Ulster

Abstract

This article describes a segmentation technique based on the use of geographically weighted regression (GWR) which could be applied within the mass appraisal environment.

First Page

21

Last Page

54

Keywords

MRA in assessment

Notes

Includes technical notes on linearization and need for hold-back sample.

Recommended Citation

Borst, R. A., & McCluskey, W. J. (2008). Using geographically weighted regression to detect housing submarkets: modeling large-scale spatial variations in value. Journal of Property Tax Assessment & Administration, 5(1), 21-54. Retrieved from https://researchexchange.iaao.org/jptaa/vol5/iss1/2