The Effect of Kernel and Bandwidth Specification in Geographically Weighted Regression Models on the Accuracy and Uniformity of Mass Real Estate Appraisal

Authors

Paul E. Bidanset
John R. Lombard, Old Dominion UniversityFollow

Document Type

Article

Publication Date

2014

Publication Title

Journal of Property Tax Assessment & Administration

Volume

10

Issue

3

Pages

5-14

Abstract

The article presents a study which examines the performance of kernel and bandwidth specification in geographically weighted regression (GWR) models in mass real estate appraisal. The kernels employed in the study are the bi-square kernel and the Gaussian kernel. Data from the sales of single-family homes in Norfolk, Virginia from 2010 to 2012 are highlighted.

Comments

Note: Copyright International Association of Assessing Officers 2014.

ORCID

0000-0002-5014-5748 (Lombard)

Original Publication Citation

Bidanset, P. E., & Lombard, J. R. (2014). The effect of kernel and bandwidth specification in geographically weighted regression models on the accuracy and uniformity of mass real estate appraisal. Journal of Property Tax Assessment & Administration, 10(3), 5-14.

Repository Citation

Bidanset, Paul E. and Lombard, John R., "The Effect of Kernel and Bandwidth Specification in Geographically Weighted Regression Models on the Accuracy and Uniformity of Mass Real Estate Appraisal" (2014). School of Public Service Faculty Publications. 27.
https://digitalcommons.odu.edu/publicservice_pubs/27