The Study on the Stationarity of Housing Price-to-Rent and Housing Price-to-Income Ratios in China
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32805
The Study on the Stationarity of Housing Price-to-Rent and Housing Price-to-Income Ratios in China

Authors: Wen-Chi Liu

Abstract:

This paper aims to examine whether a bubble is present in the housing market of China. Thus, we use the housing  price-to-income ratios and housing price-to-rent ratios of 35 cities from 1998 to 2010. The methods of the panel KSS unit root test with a  Fourier function and the SPSM process are likewise used. The panel  KSS unit root test with a Fourier function considers the problem of  non-linearity and structural changes, and the SPSM process can avoid  the stationary time series from dominating the result-generated bias.  Through a rigorous empirical study, we determine that the housing  price-to-income ratios are stationary in 34 of the 35 cities in China.  Only Xining is non-stationary. The housing price-to-rent ratios are  stationary in 32 of the 35 cities in China. Chengdu, Fuzhou, and  Zhengzhou are non-stationary. Overall, the housing bubbles are not a  serious problem in China at the time.

 

Keywords: Housing Price-to-Income Ratio, Housing Price-to-Rent Ratio, Housing Bubbles, Panel Unit-Root Test.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1090510

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2331

References:


[1] Hui, E. C. M. and S. Yue (2006), "Housing price bubbles in Hong Kong, Beijing and Shanghai: A comparative study,” Journal of Real Estate Finance and Economics, 33(4): 299-327.
[2] Xiao, Q. and G. K. R. Tan (2007), "Signal extraction with kalman filter: A study of the Hong Kong property price bubbles.” Urban Studies, 44(4): 865-888.
[3] Clark, S. P. and T. D. Coggin (2010), "Was there a U.S. house price bubble? An econometric analysis using National and Regional panel data,” Quarterly Review of Economics and Finance.
[4] Zaemah, Z., N. M. Jali, C. Gan, and B. Ward (2012), "Revitalizing the issues, theories and concept of house price bubbles,” 3rd International Conference On Business And Economic Rearch (3rd ICBER 2012) Proceeding.
[5] Himmelberg, C., C. Mayer, and T. Sinai (2005), "Assessing high house prices: Bubbles, fundamentals and misperceptions,” Journal of Economic Perspective, 19(4): 67-92.
[6] Baker, D. (2007), "2007 Housing bubble update: 10 economic indicators to watch,” Issue Brief, Center for Economic and Policy Research.
[7] Mikhed V. and P. Zemčík (2009), "Testing for bubbles in housing markets: A panel data approach,” The Journal of Real Estate Finance and Economics, 38(4): 366-386.
[8] Case, K. E. and R. J. Shiller (2003), "Is there a bubble in the housing market?” Brookings Papers on. Economic Activity 2: 299-362.
[9] Black, A., P. Fraser, and M. Hoesli (2006), "House prices, fundamentals and bubbles. Journal of Business Finance & Accounting,” 33(9): 1535-1555.
[10] Ucar, N. and T. Omay (2009), "Testing for unit root in nonlinear heterogeneous panels,” Economics Letter, 104: 5-8.
[11] Kapetanios, G., Y. Shin, and A. Snell (2003), "Testing for a unit root in the nonlinear STAR framework,” Journal of Econometrics, 112: 359-379.
[12] Im, K. S., M. H. Pesaran, and Y. Shin (2003), "Testing for unit roots in heterogeneous panels,” Journal of Econometrics, 115: 53-74.
[13] Perron, P. (1989), "The great crash, the oil price shock and the unit root hypothesis,” Econometrica, 57(6): 1361–1401.
[14] Chortareas, G. and G. Kapetanios (2009), "Getting PPP right: Identifying mean-reverting real exchange rates in panels,” Journal of Banking and Finance, 33: 390-404.
[15] Enders, W. and J. Lee (2011), "A unit root test using a Fourier series to approximate smooth breaks, Oxford Bulletin of economics and statistics,” 0305-9049 doi: 10.1111/j.1468-0084.2011.00662.x.
[16] Gallant, R. (1981), "On the basis in flexible functional form and an essentially unbiased form: The flexible Fourier form,” Journal of Econometrics, 15: 211-353.
[17] Becker, R., W. Enders, and J. Lee (2004), "A general test for time dependence in parameters,” Journal of Applied Econometrics, 19: 899-906.
[18] Pascalau, R. (2010), "Unit root tests with smooth breaks: An application to the Nelson-Plosser data set,” Applied Economics Letters, 17: 565-570.