Title :
A Study on the Techniques of Mass Appraisal in Real Estate Tax Base and Mortgage Valuation Based on Quantile Regression
Author :
Mi Xuming ; Ji Yicheng
Author_Institution :
Dept of Constr. Manage. & Real Estate, Shenzhen Univ., Shenzhen, China
Abstract :
This paper researches the regression method of mass appraisal in the real estate taxation and mortgage, which tests the secondary residential section data and compares with the result of ordinary least squared regression method (OLS). The study finds that property characteristics impact differently to the real estate in the different value range. Therefore, the mass appraisal method based on quantile regression can make the full use of relevant information that helps to improve the accuracy of mass appraisal for the purpose of the real estate taxation and mortgage.
Keywords :
least squares approximations; mortgage processing; property market; regression analysis; taxation; mass appraisal; mortgage valuation; ordinary least squared regression method; quantile regression method; real estate tax base; Appraisal; Computer applications; Cost accounting; Financial management; Information analysis; Information technology; Loans and mortgages; Public finance; Statistics; Testing;
Conference_Titel :
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4638-4
Electronic_ISBN :
978-1-4244-4639-1
DOI :
10.1109/ICMSS.2009.5304286
