| Since the reform and opening,small and medium-sized cities housing prices also high,its economic development cannot be comparable to those of first-tier cities housing prices,fast growth,this led to the burden,social cost increase,further intensify social wealth differentiation,at the same time in different cities housing prices growth difference aggravated the imbalance of urban economic development,affecting health coordinated development of small and medium-sized cities.The rise of housing price is affected by many aspects,so it is of practical significance to find out the factors that affect the rise of housing price.This paper takes the real estate industry in Huainan city,Anhui Province as the research object,and mainly studies the development status,development potential and hidden difficulties of the real estate industry.Discuss Huainan real estate industry under the influence of various factors from macro and micro aspects.In this paper,a variety of statistical analysis methods are adopted,among which the semi-parametric Bayesian Model Averaging method is the main one,that is,a weighted quadratic objective function is constructed under the framework of generalized moment estimation to replace the general likelihood function in the parametric Bayesian model averaging.From the perspective of model effect,the semi-parametric Bayesian Model Average can be applied to analyze the housing price data of Huainan city,and the estimation effect produced by the prior distribution without information is the best.From the importance of influencing factors,the micro Huainan second-hand housing prices are mainly affected by geographical location,such as residential area,address,followed by lighting,floor and other effects;Macroscopically,the overall housing price trend in Huainan is mainly influenced by supply and demand,followed by urban development strength.Finally,relevant research suggestions are given according to the research results. |
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