Research And Forecast For Influencing Of Real Estate Price In Xi’an

The real estate is a pillar industry of our national economy industry, and itsdevelopment scale and speed has great significance for the integrity of the entireeconomy running. The housing prices is the indicator of national governmentdepartments for the macro-control and management.Therefore, starting from the realestate prices to find the correlation between the residential real estate prices and theirimpact of various factors, quantitative analysis of factors affecting the real estate pricemovements, to grasp the changes in trends in the timing of real estate prices and thescientific prediction, which reasonably determine real estate prices, and to guideChina’s macro-control, to promote the real estate market steady and healthydevelopment of great significance.There are many factors to impact the prices of real estate, such as economicfactors, social factors, and demand factors, and the government’s macro-control is oneof the important factor. On the characteristics of the real estate prices, the paper first,the formation of an explanation of mechanism and its influencing factors, and realestate prices on the basis of the real estate price changes in the process of its formation;Second, through analysis and research on the impact factors of real estate prices, manyfactors in the regression model can affect the prices of factor analysis, analysis of thepolicy factors influence the real estate market, so the policy factors introduced as adummy variable in the regression model, to produce better results; Third, the use ofGM(1,1) model to predict on the basis of commercial residential housing prices inXi’an, this idea of the policy factors in the regression model as dummy variables,dummy variables into the GM(1,1) prediction model to go. Finally, by adding a dummyvariable gray GM (1,1) prediction model calculation method as a research tool, and usethe Eviews economics software and Matlab software to calculate and analyze. This paper based on the model of the empirical analysis of Xi’an city housing price,and with a dummy variable gray prediction model applied to the prediction of real estateprices in Xi’an, better results verify the feasibility of the gray prediction model withdummy variables.