Analysis of Real Estate Price Based on Panel Data Model

House prices in recent years have aroused heated debate. Analysis of the factors which affect the commercial residential house price are useful. It not only helps the public to understand the real estate market, but also helps the government to formulate the effective policies. For the short period of housing commercialization in our country and the lack of longitudinal data, this paper selects the most important factor - personal disposable income of urban households on average from some probable factors by using panel data of 31 regions during 1999-2009 firstly. It continues to analyze the characteristics of real estate prices of different regions and different periods specifically. Ultimately the model which includes both regional and time series impacts shows The characteristics of real estate prices in these years effectively.