房价影响因素的计量经济模型分析
Econometric Model Analysis of Influencing Factors of House Prices
DOI: 10.12677/ASS.2017.610184, PDF, HTML, XML, 下载: 3,003  浏览: 11,153 
作者: 王玉珍:云南财经大学统计与数学学院,云南 昆明
关键词: 房价截面数据逐步回归EVIEW软件House Price Section Data Stepwise Regression EVIEW Software
摘要: 本文以住房价格作为研究对象,将影响房价的因素从房产的消费品与投资品两重属性着手,分为需求因素、供给因素以及宏观经济变量三个方面。为考察影响房价的市场本身因素,采用了35个大中城市的截面数据对影响房价的因素进行定量分析。在定量分析过程中,借助EVIEW软件,建立变量间的回归模型,并通过逐步回归修正回归模型,从而成立最终影响房价因素的回归方程。
Abstract: Based on housing prices as the research object, this paper will divide factors of house prices starting from the two fold properties of consumer goods and investment goods into the demand factor, supply factor and macroeconomic variables. In order to investigate the market factors that influence the price of the house, the cross-sectional data of 35 large and medium cities are used to quantitatively analyze the factors that influence house prices. In the process of quantitative analysis, the regression model between variables is established by using EVIEW software, and the regression model is revised by stepwise regression. Finally, the regression equation that affects the price of the house established.
文章引用:王玉珍. 房价影响因素的计量经济模型分析[J]. 社会科学前沿, 2017, 6(10): 1306-1312. https://doi.org/10.12677/ASS.2017.610184

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