Chapter
Aug 14, 2017
International Conference on Construction and Real Estate Management 2016

Research on Real Estate Appraisal Accuracy Based on a Behavior Paradigm

Publication: ICCREM 2016: BIM Application and Off-Site Construction

ABSTRACT

Real estate appraisal accuracy is vital to the appraisal industry because it might affect real estate business running, benefit maintenance, and market rule establishment. Following behavior economics forming, researchers have transferred their research paradigm to behavior discipline which is a shining viewpoint of study. My paper, based on real estate appraisal accuracy researches, directed by descriptive behavior research paradigm, analyses real estate appraisal host’s producing valuation procedure and principle, puts forward a train of thought on how to avoid valuation bias by controlling elements in valuation procedure. By correlating the new paradigm into the valuation procedure, the paper finds that internal appraisal information processing system is a system of reaction to information and deepening information digging process, it belongs to the category of psychological research field. By analyzing appraisal bias generation and its analysis based on traditional and behavioral information processing separately, the paper reconstructs the traditional real estate appraisal information processing flow chart in order to satisfy dynamic and versatile complex environmental requirement based on the new paradigm.

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ACKNOWLEDGMENTS

Funded by the Humanities and Social Science Fund Project of Heilongjiang Province: 14B051.

REFERENCES

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Published In

Go to ICCREM 2016
ICCREM 2016: BIM Application and Off-Site Construction
Pages: 1048 - 1055
Editors: Yaowu Wang, Ph.D., Professor, Harbin Institute of Technology, Mohamed Al-Hussein, Ph.D., Professor, University of Alberta, Geoffrey Q. P. Shen, Ph.D., Professor, The Hong Kong Polytechnic University, and Yimin Zhu, Ph.D., Professor, Louisiana State University
ISBN (Online): 978-0-7844-8027-4

History

Published online: Aug 14, 2017

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Authors

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Xiaoqi Ma, Ph.D. [email protected]
Associate Professor, Heilongjiang Univ., Information Resource Management Research Center, Harbin, China, 150001. E-mail: [email protected]

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