新建普通住宅房价指数编制的半参数匹配模型  

Semiparametric Matching Model for Compiling Price Index of Newly-built Ordinary Houses

作　　者：董艳玲 金升平[1] 陈家清[1] Dong Yanling;Jin Shengping;Chen Jiaqing(School of Science,Wuhan University of Technology,Wuhan 430070,China)

机构地区：[1]武汉理工大学理学院,武汉430070

出　　处：《统计与决策》2020年第16期41-44,共4页Statistics & Decision

摘　　要：我国新建普通住宅具有中国特色,价格指数是测度房地产风险的关键指标,其编制方法需要从基础理论上进行系统研究。文章建立了新建普通住宅房价指数编制的半参数匹配模型,研究了半参数匹配模型的求解方法;设计了评价房价指数模型所估计的价格指数与商品房交易价格吻合程度的数据指标。并且提出了半参数链式加权模型,解决了保持已估计的房价指数不变而动态地计算新时期的房价指数问题。最后,用实例进行了计算,并与参数匹配模型进行了比较分析。The newly-built ordinary houses in China have Chinese characteristics. The price index is a key indicator to measure the real estate risk, and thus the method for the index compilation needs to be studied systematically from the basic theory.This paper constructs a semiparametric matching model for compiling the price index of the newly-built ordinary houses, and studies the solution method of semi-parameter matching model, and then designs the data index of the coincidence degree between the price index estimated by the housing price index model and the commercial house transaction price, and also proposes a semi-parametric chain weighting model to dynamically calculate the housing price index of the new period and simultaneously maintain the estimated housing price index unchanged. Finally, the paper carries out the calculation with an example, and makes comparison with the parameter matching model.

关 键 词：房价指数 半参数模型 样条回归 链式加权模型 

分 类 号：F293.3[经济管理—国民经济]