葫芦岛市房地产价格指数编制方法研究

发布时间：2018-01-26 16:16

本文关键词： 房地产价格指数重复交易模型葫芦岛　出处：《辽宁工程技术大学》2014年硕士论文　论文类型：学位论文

【摘要】：近年来,我国房地产速度发展过快,风险问题日益突出。用科学的办法灵敏地反映出房屋市场价格的瞬息变化,给人们提供房地产市场变化的风向标的要求已十分迫切。房价指数是反映不同时期房屋市场价格水平的变化趋势和程度的相对指标,即只反映由市场供求变化所引起的价格变化。我国在房价指数领域的研究起步较晚,编制方法多停留在平均值算法和简单加权算法阶段,这些算法忽略了房屋的异质性,把所有的房屋都当做同质性商品计算其平均价格,得出的价格指数是不够科学严谨的。重复交易法时目前国际上计算房价指数的两大主流方法之一,通过将研究对象限定为有过两次以上交易的同一宗房产,克服了房屋异质性的问题,并利用计量模型剔除折旧、区位价值等因素变化带来的影响,得出的房价指数更准确更科学。本文以葫芦岛市为例,在现有的房价指数存在的问题的基础上,引入重复交易方法的理论,并结合葫芦岛市房地产市场的特点及其所具备的统计条件,提出了一种改进的房价指数编制方法,并对改进后的方法进行了实证模拟,得出了较好的结果。
[Abstract]:In recent years, with the rapid development of real estate in China, the risk problem is becoming more and more serious. The rapid change of housing market price is reflected by scientific methods. It is very urgent to provide the weather vane for the change of the real estate market. The house price index is the relative index which reflects the change trend and degree of the housing market price level in different periods. That is to say, it only reflects the price change caused by the change of market supply and demand. The research in the field of house price index in our country started late, and the compilation method mostly stayed in the phase of average value algorithm and simple weighted algorithm. These algorithms ignore the heterogeneity of housing and calculate the average price of all houses as homogeneous commodities. The price index is not scientific and rigorous. Duplicate trading law is currently one of the two major international methods to calculate house price index, by limiting the object of study to the same property with more than two transactions. Overcome the problem of housing heterogeneity, and use the econometric model to eliminate the depreciation, location value and other factors, the price index is more accurate and scientific. This paper takes Huludao as an example. On the basis of the existing problems of house price index, this paper introduces the theory of repeated trading method, and combines the characteristics of the real estate market in Huludao city and its statistical conditions. In this paper, an improved method of compiling house price index is put forward, and the improved method is simulated empirically, and good results are obtained.
【学位授予单位】：辽宁工程技术大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F299.23

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