Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Theoretical and Natural Science
Vol. 38, 24 June 2024
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Research on factors influencing housing price index-take the USA as an example
* Author to whom correspondence should be addressed.
Abstract
This article aims to identify the factors that have an impact on housing prices. The significance factors of 241 samples from the United States from 2003 to 2022 were analyzed using multiple linear regression method. Based on a hypothesis, the selected 5 variables are indeed related to housing prices. This article also collected a lot of other data related to the housing price index for multivariate judgment analysis, and used exploratory factors to test the research significance of each variable. To test the effectiveness of this operation, the study compared the VIF values and significance of these variables. The conclusion is that correlation analysis has been used to test the relationship between DATE and five variables: income, housing subsidies, unemployment rate, unsold or sold houses and total houses, as well as the magnitude of the impact of these factors on the housing price index. Overall, the volatility of the US housing price index can be considered based on the degree to which these factors affect it.
Keywords
Housing prices, influencing factors, multiple linear regression
References
1. He H M, et al. 2021 Data Analysis on the Influencing Factors of the Real Estate Price. Artificial Intelligence Evolution, 2(2), 52-66.
2. Zhao S, Li W, Zhao K and Zhang P 2021 Change Characteristics and Multilevel Influencing Factors of Real Estate Inventory-Case Studies from 35 Key Cities in China. Land, 10, 928.
3. Baldauf M, et al. 2020 Does Climate Change Affect Real Estate Prices? Only If You Believe In It. The Review of Financial Studies, 33(3), 1256-1295.
4. Segnon M, Gupta R, Lesame K, et al. 2021 High-Frequency Volatility Forecasting of US Housing Markets. Journal of Real Estate Finance and Economics, 62, 283-317.
5. Singh A, Sharma A and Dubey G 2020 Big data analytics predicting real estate prices. International Journal of Systems Assurance Engineering and Management, 11, 208-219.
6. Lisheng S, Yu D, Xiaoyan Y, et al. 2018 Research on Influencing Factors of Commodity Housing Price Based on Hedonic Price Model-Taking Yinchuan as An Example. Journal of Ningxia University (Natural Science Edition).
7. Dong W, et al. 2008 An External Influencing Factors Analysis and Experiential Research of Housing Price in Shenzhen. In International conference on construction & real estate management.
8. Sun D 2000 Selection of the Linear Regression Model According to the Parameter Estimation. Wuhan University Journal of Natural Sciences, 5(4), 400-405.
9. Gao Y, et al. 2022 Spatial Differentiation of Housing Prices in Shanghai’s Tourism Accommodation Industry and Its Influencing Factors. Geographic Science, 42(8), 11.
10. Wang C Y and Zhang Z Y 2023 The Impact of Urban Public Service Configuration on Housing Prices: A Case Study of Chongqing. Journal of Chongqing Jiaotong University (Social Science Edition), 23(6), 58-67.
Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 2nd International Conference on Mathematical Physics and Computational Simulation
- ISBN (Print)
- 978-1-83558-461-3
- ISBN (Online)
- 978-1-83558-462-0
- Published Date
- 24 June 2024
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/38/20240542
- Copyright
- 24 June 2024
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited