摘要
随着人口增多,对房子需求量的增加,加之新建住宅房价的过快上涨,超出了大部分消费者的承受能力,导致房屋消费者开始转向二手住宅市场,且需求量也随之增加;针对我国房价持续涨高背景,对2017年国内70个大中城市新建住宅与二手住宅价格指数的监测调查数据,提出利用非参数核密度估计的方法对新建住宅销售价格指数和二手住宅销售价格指数密度曲线进行估计与分析,结果发现:新建住宅与二手住宅的需求一致,两者之间存在相关性,并且新建住宅价格的上涨对二手住宅价格的上扬有一定带动作用,二手住宅在住宅市场中逐渐开始处于主导地位。
With the increase of the population,the demand for the house is also increasing. Because of the rapid rise in housing prices of the newly built houses,it is beyond the capacity of most consumers. Therefore,the consumer began to turn to the second-hand housing market,and the demand for second-hand housing also increased. According to the monitoring and investigation data of the price index of new and second-hand houses in70 large and medium-sized cities in 2017,this paper estimates and analyzes the new and the second-hand housing sales price index density curve by using the non-parametric kernel density estimation method. The results show that the demand of the new housing and the second-hand housing is the same,there is a correlation between the two,and the rise in the price of new housing has a certain driving effect on the rise of second-hand housing prices,and second-hand housing has gradually begun to dominate in the housing market.
作者
丰茂芳
FENG Mao-fang(Nanjing University of Finances & Economics,Department of Applied Mathematics,Nanjing 210046,China)
出处
《重庆工商大学学报（自然科学版）》
2019年第1期54-59,共6页
Journal of Chongqing Technology and Business University:Natural Science Edition
基金
江苏省研究生科研创新项目自然科学基金(KYCX17_1206)
关键词
非参数
核密度估计
新建住宅
二手住宅
价格指数
non-parametric
kernel density estimation
new housing
second-hand housing
price index
