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Research on the Influencing Factors of House Prices in Beijing Based on Regression Analysis

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DOI: 10.23977/ferm.2023.061020 | Downloads: 30 | Views: 449

Author(s)

Mai Tu 1

Affiliation(s)

1 Song Qingling School, Shanghai, 201703, China

Corresponding Author

Mai Tu

ABSTRACT

China's housing prices have always fluctuated as the economy grows, especially in large cities. The fluctuation of housing prices is affected by many factors, and the housing problem is related to the national economy and people's livelihood. Therefore, housing prices are widely considered and studied by many scholars. In this paper, we take the average price of commercial housing in Beijing from 2010 to 2020 as the explanatory variable and the real disposable income of Beijing residents, the total population and the number of employed persons in all units as the explanatory variables and set up a linear regression model to analyze its effect on house prices. The study results show that real disposable income and the number of employed persons in all units will significantly and positively affect the average commercial housing sales price; the total population will significantly and negatively affect the average commercial housing sales price. Taking the above factors as a reference can help to predict the future fluctuation of house prices.

KEYWORDS

Housing prices; Disposable income; Total population; Employment; Regression modelling

CITE THIS PAPER

Mai Tu, Research on the Influencing Factors of House Prices in Beijing Based on Regression Analysis. Financial Engineering and Risk Management (2023) Vol. 6: 151-159. DOI: http://dx.doi.org/10.23977/ferm.2023.061020.

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