Journal of Property Tax Assessment & Administration
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.
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.
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.