Analysis Of Housing Price Based On Spatial Quantile Regression Model

Housing price's widely attention in recent years,its relationship to the national economy and people's livelihood,the people also continued uninterrupted for its research.Considering the housing as a heterogeneous goods,based on the characteristics of price method to analyze the housing price results emerge in endlessly.As the theory of quantile regression mature in recent years,people will naturally it introduced into the analysis of the housing price,and achieved some results.But in these studies are rarely consider the residential spatial correlation between samples,this paper tries to build space quantile regression model to the study of residential property prices.Based on the two kinds of spatial quantile regression model: the spatial quantile autoregressive model and quantile condition parameters model,with changsha second-hand data as sample,on the second-hand housing transaction price for the characteristics of changsha coherence analysis,the analysis process of comparing the advantages and disadvantages of the two measurement models,and on the basis of the establishment of changsha city second-hand housing price index.Model are analyzed in detail in the process of different distance functions,kernel function and the influence of window size estimation results.In part results show,by visualizing will result in the form of intuitive display in the map.Empirical found that compared to ordinary model,quantile quantile regression model with considering the observation point in geography,therefore better to data fitting,the more sensitive to capture the non-normal tail characteristics of population distribution.Contrast spatial autoregressive model,based on the global spatial correlation parameter model can reflect the characteristics of residential existing in different regions of the influence of the housing price difference.On the other hand,the influence of different characteristics of house prices is different under different quantile,second-hand housing prices in different areas of the distribution is obviously different.Including the distribution of the price difference is lesser,north of downtown and the urban areas of central and western price distribution differences.Dummy method through time building in changsha city second-hand housing prices clearly reflects the changsha city housing market rapidly rising phenomenon in the second half of 2016,the government should prevent housing prices rising too fast and curb speculative speculation.