Analysis of the Factors Influencing House Prices Based on the Var Model
DOI:
https://doi.org/10.62051/ijgem.v4n1.29Keywords:
Var model, Granger causality test, Co-integration test, Impulse response function, House priceAbstract
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
[1] Wang Laifu, & Guo Feng. (2007). Study on the dynamic impact of monetary policy on real estate prices —— empirical based on var model. Financial issues research (11), 5.
[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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