Abstract
Taiwan’s housing supply continues to increase but the housing prices still remain high, which may lead to housing prices bubble. Therefore, this study intends to detect the housing bubble in the Taiwan housing market using variables from the demand side such as the purchasing power variables (dependency rate, house price-to-income ratio) and the purchasing cost variables (consumer price index and mortgage interest rate). By considering the external factors like economic growth and taxation, we use the regression model to explain the housing price bubble. The empirical results show that Taiwan has a significant price bubble before the taxation, and there is a significant downward trend after taxation. Second, the dependency rate and the housing price bubble has a negative relationship; the impact of house price-to-income ratio on housing price bubble is significantly positive. Moreover, the impact of consumer prices index on the housing price bubble is significantly negative; the impact of mortgage interest rate on the housing price bubble is not obvious. In addition, the impact of economic growth on the housing price bubble is not significant; the relationship between taxation and housing price bubble is significantly negative.
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References
Abreu, D., Brunnermeier, M.K.: Bubbles and Crashes. Econometrica 71(1), 173–204 (2003)
Alpanda, S., Zubairy, S.: Housing and tax policy. J. Money, Credit, Banking 48, 485–512 (2016)
Blanchard, O.J., Fisher, S.: Lecture on Macroeconomic. The MIT Press, Cambridge, MA (1989)
Brock, W.A., Green, J., Scheinkman, J., McCall, J.J.: The Economics of Information and Uncertainty. University of Chicago Press, Chicago (1982)
Börsch-Supan, A.: The impact of global aging on capital markets and housing. In: Hamm, I., Seitz, H., Werding, M. (eds.) Demographic Change in Germany. Springer, Berlin, Heidelberg (2008)
Bulligan, G.: Housing and the Macroeconomy: The Italian Case, Housing Markets in Europe, pp. 19–38 (2010)
Carter, C.C., Lin, Z., Allen, M.T., Haloupek, W.J.: Another look at effects of “adults-only” age restrictions on housing prices. J. Real Estate Fin. Econ. 46(1), 115–130 (2013)
Chen, Y., Gibb, K., Leishman, C., Wright, R.: The impact of population ageing on house prices: a micro-simulation approach. Scott. J. Polit. Econ. 59(5), 523–542 (2012)
Chu, S.-Y.: Macroeconomic policies and housing market in Taiwan. Int. Rev. Econ. Fin. 30, 1–18 (2018)
Daniel, K., Hirshleifer, D., Teoh, S.H.: Investor psychology in capital markets: evidence and policy implications. J. Monetary Econ. 49, 139–209 (2002)
Dettling, L.J., Kearney, M.S.: House prices and birth rates: the impact of the real estate market on the decision to have a baby. J. Publ. Econ. 110, 82–100 (2014)
Fama, E.: What’s different about banks? J. Monetary Econ. 15, 29–39 (1985)
Feng, L., Lu, W., Hu, W., Liu, K.: Macroeconomic Factors and Housing Market Cycle: An empirical analysis using national and city level data in China, Scientific Research, pp. 1088–1092 (2010)
Funke, M., Paetz, M.: Dynamic stochastic general equilibrium-based assessment of nonlinear macroprudential Policies: evidence from Hong Kong. Pac. Econ. Rev. (2016)
Gupta, R., Kabundi, K.: The effect of monetary policy on house price inflation: a factor augmented vector autoregression (FAVAR) approach. J. Econ. Stud. 37(6), 616–626 (2010)
He, L.-Y., Wen, X.-C.: Population growth, interest rate, and housing tax in the transitional China. Physica A: Stat. Mech. Appl. 469, 305–312 (2017)
Hendershott, P.H., Weicher, J.C.: Forecasting housing market: lessons learned. Real Estate Econ. 30(1), 1–11 (2002)
Hilber, C.A.L., Lyytikäinen, T.: Transfer taxes and household mobility: distortion on the housing or labor market. J. Urban Econ. 101, 57–73 (2017)
Leung, C.: Macroeconomics and housing: a review of the literature. J. Hous. Econ. 13(4), 249–267 (2004)
Liu, H., Shen, Y.: Housing prices and general economic conditions: an analysis of chinese new dwelling market. J. Hous. Econ. 10(3), 334–343 (2005)
Lutz, W., Skirbekk, V.: Policies addressing the tempo effect in low-fertility countries. Popul. Dev. Rev. 31(4), 699–720 (2005)
Mason, A.: Population and Asian economic miracle. Asia-Pac. Popul. Policy 43, 1–4 (1997)
Milgrom, P., Stokey, N.: Information, trade and common knowledge. J. Econ. Theor. 26, 17–27 (1982)
Mulder, C.H.: Population and housing: a two-sided relationship. Demogr. Res. 15, 401–412 (2006)
Rappaport, J.: The Demographic Shift from Single Family to Multifamily Housing, Economic Review, Federal Reserve Bank of Kansas City, issue Q IV, pp. 29–58 (2013)
Santos, M.S., Woodford, M.: Rational asset pricing bubbles. Econometrica 65(1), 19–58 (1997)
Scheinkman, J.A., Xiong, W.: Overconfidence and speculative bubbles. J. Polit. Econ. 111(6), 1183–1220 (2003)
Wang, K.-M., Lee, Y.-M., Lee, C.-C.: do asymmetric causal relationships exist between macroeconomic variables and housing returns in Taiwan? J. Econ. Manage. 8(1), 25–57 (2012)
Yi, J., Zhang, J.: The effect of house price on fertility: evidence from Hong Kong. Econ. Inq. 48(3), 635–650 (2010)
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Tsai, YS., Chang, CP., Tzang, SW. (2020). Demographic Structure, Business Fluctuations, Tax Shock and Housing Bubbles. In: Barolli, L., Xhafa, F., Hussain, O. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing . IMIS 2019. Advances in Intelligent Systems and Computing, vol 994. Springer, Cham. https://doi.org/10.1007/978-3-030-22263-5_69
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