Analysis of the Factors Influencing House Prices Based on the Var Model

Authors

  • Jiayu Fang

DOI:

https://doi.org/10.62051/ijgem.v4n1.29

Keywords:

Var model, Granger causality test, Co-integration test, Impulse response function, House price

Abstract

Var model is established to study the relationship between house price, inflation rate and GDP in this article. By using Granger causality test, cointegration test, impulse response function and variance decomposition to analyze, we conclude that the value of inflation rate and GDP can be predicted by the past data of house price, and GDP has a significant impact on house price.

References

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[2] Luo Xiaoling, Hongbo, & Ma Shichang. (2012). Research on the influencing factors of real estate price based on var model. Journal of Central South University: Social Science Edition, 18 (4), 7.

[3] Meng Qingbin, & Rong Chen. (2014). Long-term and short-term impact of macroeconomic factors on real estate prices. Statistical studies (6), 8.

[4] Cho, D., & Ma, S. (2004). A Study of Dynamic Relationship between Housing Values and Interest Rate in the Korean Housing Market.

[5] Gustafsson, P., Stockhammar, P., & Österholm, P. (2016). Macroeconomic effects of a decline in housing prices in Sweden. Journal of Policy Modeling, 38, 242-255.

[6] Benati, L. (2021). Leaning against house prices: A structural VAR investigation. Journal of Monetary Economics.

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Published

27-08-2024

Issue

Section

Arcicles

How to Cite

Fang, J. (2024). Analysis of the Factors Influencing House Prices Based on the Var Model. International Journal of Global Economics and Management, 4(1), 211-221. https://doi.org/10.62051/ijgem.v4n1.29