Mass Appraisal of Property Tax Base based on Multivariate Linear Regression—Empirical Study on Four Districts of Jinan

DOI

10.2991/icetis-13.2013.254How to use a DOI?

Keywords

Property tax base; mass appraisal; multivariate linear regression

Abstract

In this paper, a multivariate linear regression analysis is made to the effective transaction data of 226 housing stocks in four administrative regions (Tianqiao District, Shizhong District, Lixia District, and Huaiyin District) of Jinan, a mass appraisal model of real estate values is established, and also the transaction prices of 226 housing stocks are compared with the appraised prices. In this study, it is thought that an efficient, low-cost, objective, and accurate mass appraisal can be made to property tax base through the establishment of a unified real estate information database. In the mass appraisal system, geography information technology should be integrated so as to improve the objectivity and accuracy of the appraisal results.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shan Tian
PY  - 2013/06
DA  - 2013/06
TI  - Mass Appraisal of Property Tax Base based on Multivariate Linear Regression—Empirical Study on Four Districts of Jinan
BT  - Proceedings of the 2013 the International Conference on Education Technology and Information System (ICETIS 2013)
PB  - Atlantis Press
SP  - 1116
EP  - 1120
SN  - 1951-6851
UR  - https://doi.org/10.2991/icetis-13.2013.254
DO  - 10.2991/icetis-13.2013.254
ID  - Tian2013/06
ER  -