Using the Hedonic Model to Analyze How the Characteristics Impact the Housing Price in Beijing during 2011-2018

In China, house buying, and housing prices have always been hot issues in the people's livelihood field and the economic field. Especially in recent years, the high housing price, the difficulty of hoses buying, and the difficulty of renting a house in big cities such as Beijing and Shanghai have been troubling consumers and the Chinese government. Many real estate development enterprises have also invested more effort and resources in this industry. In this context, by using the Hedonic regression method and econometrics theory and approaches, this paper analyzes the market price of houses in Beijing by using data from “LianJia web” and tries to build two models of a full linear Hedonic model and a log-linear Hedonic model to fit the housing price in Beijing from 2011 to 2018, and the modeling results are analyzed to show the impacts of different characteristic variables on it.