基于时空视角下的城市房价预测模型构建——以北京市为例  

Construction of Urban Housing Price Forecasting Model Based on Space-Time Perspective—A Case Study of Beijing

作　　者：朱玉忠 郑蕾 朱万红 

机构地区：[1]陆军工程大学研究生学院,江苏 南京 [2]陆军工程大学院野战工程学院,江苏 南京

出　　处：《统计学与应用》2024年第2期276-283,共8页Statistical and Application

摘　　要：本文在对城市房价影响因素定性分析基础上,以北京市为例,采取皮尔逊相关系数法对采集的实例数据进行分析,从中选取影响北京市房价的7个重要影响因素指标。综合运用多元线性回归和灰色理论方法,通过对指标影响因素逐个解算和分析,构建了基于时空视角下的北京市房价预测模型并进行了检验,同时提出了房价调控的有关建议。On the basis of qualitative analysis of urban housing price factors, this paper takes Beijing as an example, adopts the Person correlation coefficient method to analyze the collected case data, and selects 7 important influencing factor indicators of Beijing housing price. Based on the comprehensive use of multiple linear regression and the grey theory method, the paper constructs and analyzes the influencing factors of the index one by one, and tests the forecast model of Beijing housing price from the perspective of time and space, and puts forward some suggestions on housing price regulation.

关 键 词：时空视角 多元线性回归 灰色理论 北京市 房价预测 

分 类 号：F29[经济管理—国民经济]