Quantile Regression Of House Price

House price has always been a hot topic related to the people's livelihood. In recent years, rising housing prices has attracted widespread attention in the community. There are many factors that affect the price, this paper focus on the national policy and market factors to explore the impact of housing prices. In this paper, we explore the average price trend and the main factors affecting prices in the provinces with the average commercial housing price. We collected ten years' housing price data from 2004 to 2013 in 31 provinces through the China Economic Net to carry out a systematic study.On the policy front, the state has been able to curb the excessive growth of housing prices by increasing the benchmark deposit and lending interest rates and the reserve ratio of financial institutions, strengthening credit management and property tax reform. While the housing market downturn, by reducing the double rate, ease the loan conditions, increase land supply and other preferential policies to maintain the housing market healthy and sustainable development. Based on the ideal conditions without considering the policy factors, we summarize the non-parametric and semi-parametric model based on past experience, and build linear regression model, linear quantile regression model, nonparametric quantile regression model and semi-parametric quantile regression model for house price and the effect factors combined with quantile regression technique. Based on the results of several models, it can be concluded that the price has a significant difference from east to west, and the whole shows a descending trend from east to west. Residents' disposable income, per capita GDP and real estate development area have a linear relationship with house price, while the level of urbanization and the level of industrialization have a nonlinear relationship with house price. The semi-parametric quantile regression model has better fitting effect in house price regression. And different quantiles cause different influences with different effect factors, which gives a reasonable explanation to actual economic phenomena.