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JACIII Vol.20 No.4 pp. 597-606
doi: 10.20965/jaciii.2016.p0597
(2016)

Paper:

A Study of Influence upon Inflation Posed by Volatility of Housing Price

Jun Pi*, Yu Song**, Shenggang Yang*, and Fang Ju***

*College of Finance and Statistics, Hunan University
South Gate of Lushan Road, Yue Lu District, Changsha City, Hunan Province, China

**Fukuoka Institute of Technology
3-30-1 Wajiro-higashi, Higashi-ku, Fukuoka 811-0295, Japan

***Business School of Xiangtan University
Yu Hu District, Xiangtan City, Hunan Province, China

Received:
February 15, 2016
Accepted:
April 27, 2016
Published:
July 19, 2016
Keywords:
housing price volatility, inflation, Tobin’s Q theory, empirical research
Abstract
In recent 30 years, countries from the world have attached great attention to the influence on inflation posed by asset price. Real estate market is a very important economic market for any country. Therefore, housing price has become a hot topic for discussion and research in China. Whether housing price will affect a country’s inflation or not and to what extent the effect will be are social focuses. Hence, it is feasible to theoretically apply Tobin’s Q Theory in this paper, combine the real estate market price with the assets replacement and study the inflationary impact posed by the housing price, through the application of the wealth effect theory. By using monthly statistics of China’s real estate market and inflation from the year 2005 to 2014, this paper will conduct a theoretical and empirical research on the influence that housing price has on inflation with the adoption of dynamic analysis methods including Granger Causality Test, impulse response and variance decomposition. Furthermore, this paper is featured with systematic and complete empirical thinking and methodology, comprehensive data selection and distinctive research results associated with the relationship between housing prices and inflations. According to the study result, housing price is the Granger Cause of inflation and will not drive inflation in short time. But as time passes, this effect will be gradually enhanced. This paper suggests that housing price and other price factors should be taken into consideration so as to establish a broad-sense inflation index in China.
Cite this article as:
J. Pi, Y. Song, S. Yang, and F. Ju, “A Study of Influence upon Inflation Posed by Volatility of Housing Price,” J. Adv. Comput. Intell. Intell. Inform., Vol.20 No.4, pp. 597-606, 2016.
Data files:
References
  1. [1] F. Smets, “Financial Asset Prices and Monetary Policy: Theory and Evidence,” BIS Working Papers, No.47, pp. 1-28, 1997.
  2. [2] C. Kent and P. Lowe, “Asset-Price Bubbles and Monetary Policy,” Reserve Bank of Australia, Research Discussion Paper, 9709, pp. 1-26, 1997.
  3. [3] A. J. Filardo, “Should monetary policy respond to asset price bubbles? Some experimental results,” Federal Reserve Bank of Kansas City, Working Paper, 01-04, 2001.
  4. [4] Z. Xu, X. Zhang, and C. Zhou “Housing Price, Inflation and Monetary Policy; An Empirical Study Based on Chinese Data,” J. of Financial Research, No.6, pp. 1-12, 2012 (in Chinese).
  5. [5] A. Greenspan and J. Kennedy, “Estimates of Home Mortgage Originations, Repayments, and Debt On One-to-Four-Family Residences,” Federal Reserve Board, Finance and Economics Discussion Series, No.5, pp. 22-36, 2005.
  6. [6] F. S. Mishkin, “Housing and the Monetary Transmission Mechanism,” NBER Working Papers, 8, pp. 14-26, 2007.
  7. [7] R. Cardarelli et al., “The Changing Housing Cycle and the Implications for Monetary Policy, Housing and the Business Cycle,” World Economic Outlook, Washington D.C., 7, pp. 31-40, 2008.
  8. [8] Y. Yu, “The Impact of Asset Prices on Chinese Economy-Empirical Research Based on Stock Price and House Price,” Southwest University of Finance and Economics Publishing House, 2008 (in Chinese).
  9. [9] Y. Huang, X. Wang, and X. Hua, “Determinants of China’s Inflation,” J. of Financial Research, Vol.6, pp. 46-59, 2010 (in Chinese).
  10. [10] J. Lu and J. Liang, “Construction of China’s Financial Conditions Index,” The J. of World Economy, Vol.8, pp. 84-95, 2007 (in Chinese).
  11. [11] Z. Duan, “Relationship Between Housing Price, Inflation and Output – Theoretical Analysis and Empirical Verification Based on Chinese Statistics,” The J. of Quantitative & Technical Economics, Vol.24, No.12, pp. 127-139, 2008 (in Chinese).
  12. [12] Y. Zhao and Y. Wang, “Will Housing Price be an Indicator for Inflation Expectation? – Experience and Proof Between the Year 1996 to 2010 in China,” On Economic Problems, Vol.1, pp. 18-22, 2011 (in Chinese).
  13. [13] J. B. Madsen, “Inflation and investment,” Scottish J. of Political Economy, Vol.50, No.4, pp. 375-397, 2003.
  14. [14] Z. Onder, “High inflation and returns on residential real estate: evidence from Turkey,” Applied Economics, Vol.32, No.7, pp. 917-931, 2000.
  15. [15] H. Zhang and F. Yang, “A Study on Interactive Relationship Between Housing Price, Real Estate Development Investment and Inflation,” On Economic Problems, Vol.1, pp. 49-52, 2013 (in Chinese).
  16. [16] F. Ju and J. Pi, “Empirical Study on Influence upon Inflation Posed by Volatility of Housing Price,” Seeker, Vol.4, No.009, pp. 27-29, 2013 (in Chinese).
  17. [17] G. D. Jud and D. T. Winkler, “The Q theory of housing investment,” The J. of Real Estate Finance and Economics, Vol.27, No.3, pp. 379-392, 2003.
  18. [18] A. W. Hoffmaister and G. J. Schinasi, “Asset Prices, Financial Liberalization, and Inflation in Japan,” Occasional Paper-International Monetary Fund, pp. 63-63, 1995.
  19. [19] National Bureau of Statistics, China Statistical Yearbook, Beijing, China Statistics Press, 2014.
  20. [20] China Society for Finance and Banking, Almanac of China’s Finance and Banking, China Finance Publishing House, 2014.
  21. [21] China Economic Monitoring & Analysis Center, National Bureau of Statistics of China, China Economic Report, Beijing, China Statistics Press, 2014.
  22. [22] C. A. Sims, “Macroeconomics and Reality,” Econometrica, Vol.48, No.1, pp. 1-48, 1980.
  23. [23] H. Akaike, “Information theory and an extension of the maximum likelihood principle,” 2nd Int. Symp. on Information Theory, 1973.
  24. [24] G. Schwarz, “Estimating the dimension of a model,” Annals of Statistics, Vol.6, pp. 461-464, 1978.
  25. [25] C. W. J. Granger, “Investigating Causal Relations by Econometric Models and Cross-Spectral Methods,” Econometrica, Vol.37, pp. 424-438, 1969.

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