Housing Price Calculation Method And Its Application Based On Hedonic Pricing Model

As an important part of the real estate industry, housing has a close relationship with people’s lives. The past ten years, the city house prices, especially the house price of first tier cities continued to rise sharply, this phenomenon becomes one of the most profound feelings of the people in the housing market in china. However, the difference is that consumers feel that some the housing price index released by some agencies is relatively mild. For this kind of price "distortion" phenomenon, we can not help but ask, how should we scientifically and reasonably measure the housing price index? What are the factors that affect the change of housing price? How to provide scientific guidance for the purchase of consumers to avoid them into the situation of blind consumption? Based on this, this paper aims to find a scientific and rational calculation method of housing price index, and analysis the main impact factors of Qingdao’s new housing and Wuhan’s second-hand housing prices.In this paper, combing theoretical research with empirical analysis of domestic and foreign hedonic pricing model, basing on the availability of data, the paper selectes the appropriate characteristics of the variables and eliminates unreasonable variables, retains significant strong variable factors. At the same time, the paper researches the impact of the aspect of architectural features, neighborhood characteristic and location characteristic on housing prices, concluding that the main variables in the construction area of room quantity, education facilities, cultural facilities, distance from the CBD, distance from the city center, are the main factors that affect the price, and on this basis comparing with the existing house prices, measures the accuracy of the house price model and provides a possibility for the establishment of housing price index calculation software.Based on hedonic pricing model, this paper mainly does the following related work:First, the system gives a comprehensive analysis of the housing price index calculation method, sort out the logical relationship between the various methods, especially the advantages and disadvantages of different methods and practical. At the same time, it also explores the general principles of the construction of housing pricing index. The paper commonly sort out several real estate pricing index data types, compilation method, theoretical basis, advantages and disadvantages and practical applications, related institutions and real estate enterprises to carry out the practical application of the housing price index for the preparation and index provides a scientific reference.Second, according to the specific circumstances of Qingdao City, this paper collect 3695 sets of micro data to measure the main influence factor of Qingdao housing prices, and on this basis, comparing with the existing price index to verifying the scientific of the index construction of this paper.Third, using the small sample data to analysis the main impact factors of second-hand housing prices in Wuhan City. At the same time, the process and basis of function form selection are analyzed.Fourth, through the construction of housing pricing index for the theoretical analysis, and the empirical analysis of Qingdao and Wuhan, empirically calculating the impact of Qingdao and Wuhan housing prices, giving a more comprehensive characterization of the housing price attributes as well as to provide consumers with scientific guidance...