﻿ 基于因子分析的特征价格模型改进

# 基于因子分析的特征价格模型改进The Improvement of Hedonic Price Model Based on Factor Analysis

Abstract:
Although hedonic price model is extensively used in real estate prices and the value assessment of non-market product, duplicate information along with numerous indexes which it concerned with not only makes its fitting accuracy declined but also prevents people giving a further interpretation to the influencing factors of the object’s value. This paper makes factor analysis applied to Hedonic Price Model, replaces repeating index variable by irrelevant potential factors and explains the practical significance of potential factors by factor rotation so that the features of full information and simple variable are ensured. Hedonic price model can be improved with factor score applied to multiple regression model, which contributes to a higher prediction accuracy and a better intepretation of the influencing factors of value.

[1] R. Cervero, C. D. Kang. Bus rapid transit impacts on land uses and land values in Seoul, Korea. UC Berkeley Center for Future Urban Transport, 2009.

[2] 郑捷奋. 城市轨道交通与周边房地产价值关系研究[D]. 北京:清华大学, 2004.

[3] 陈亮. 住宅项目特征定价模型研究[D]. 成都: 西南交通大学, 2007.

[4] 周丽萍, 李惠民, 肖静. 神经网络在特征价格模型中的应用[J]. 西北工业大学学报, 2008, (4): 189-192.

[5] 罗晓娟. 特征价格模型的发展应用研究[J]. 技术经济与管理研究, 2012, (6): 11-15.

[6] 陈永发. 基于主成分分析法的特征价格模型[J]. 价值工程, 2008, (4): 134-137.

[7] 黄古博, 李雨珍. 基于主成分分析法的商品价格[J]. 华中农业大学学报(社会科学版), 2011, (4): 93-97.

[8] 曾五一. 统计学(中国版)[M].北京: 北京大学出版社, 2006.

[9] 王旭育. 城市住宅特征价格模型的理论分析[J]. 上海管理科学, 2006, (4): 68-69.

[10] 朱建平. 应用多元统计分析[M]. 北京: 科学出版社, 2006.

[11] 贾生华, 温海珍. 房地产特征价格模型的理论发展及其应用多元统计分析[J]. 外国经济与管理, 2004, (5): 42-44.

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