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Policy failure or success? Detecting market failure in China's housing market

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  • Chen, W.D.

Abstract

Due to a high vacancy rate of residential homes, housing prices remain sticky in most urban areas of China, which causes higher searching and bargaining costs. With an inefficient outcome, deadweight loss and market failure arises. To assess the Chinese government's housing policies in 2010, we develop a dynamic equilibrium model, in which we demonstrate how the sticky price results in market failure. We apply a multiple-factor panel data model to show that a high degree of market failure is associated with a high ratio of persistent components in the gap between price and equilibrium. As the persistent components will cause the market's instability, we can use the ratio between persistent and mean reverting components as an indicator to supervise the status of the housing market.

Suggested Citation

  • Chen, W.D., 2016. "Policy failure or success? Detecting market failure in China's housing market," Economic Modelling, Elsevier, vol. 56(C), pages 109-121.
    • Handle: RePEc:eee:ecmode:v:56:y:2016:i:c:p:109-121
    DOI: 10.1016/j.econmod.2016.03.024
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    References listed on IDEAS

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    1. Zeng, Jhih-Hong & Peng, Chi-Lu & Chen, Ming-Chi & Lee, Chien-Chiang, 2013. "Wealth effects on the housing markets: Do market liquidity and market states matter?," Economic Modelling, Elsevier, vol. 32(C), pages 488-495.
    2. Feng, Qu & Wu, Guiying Laura, 2015. "Bubble or riddle? An asset-pricing approach evaluation on China's housing market," Economic Modelling, Elsevier, vol. 46(C), pages 376-383.
    3. Zhang, Chuanchuan, 2015. "Income inequality and access to housing: Evidence from China," China Economic Review, Elsevier, vol. 36(C), pages 261-271.
    4. Barros, Carlos Pestana & Gil-Alana, Luis A. & Chen, Zhongfei, 2014. "The housing market in Beijing and delays in sales: A fractional polynomial survival model," Economic Modelling, Elsevier, vol. 42(C), pages 296-300.
    5. Tsai, I-Chun, 2013. "The asymmetric impacts of monetary policy on housing prices: A viewpoint of housing price rigidity," Economic Modelling, Elsevier, vol. 31(C), pages 405-413.
    6. Kang, Hsin-Hong & Liu, Shu-Bing, 2014. "The impact of the 2008 financial crisis on housing prices in China and Taiwan: A quantile regression analysis," Economic Modelling, Elsevier, vol. 42(C), pages 356-362.
    7. Ge He, 2013. "Equilibrium-Oriented Housing Supply: A Case Study of Chengdu City, China," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 60(4), pages 557-568, June.
    8. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    9. Commons, John R., 1931. "Institutional Economics," History of Economic Thought Articles, McMaster University Archive for the History of Economic Thought, vol. 21, pages 648-657.
    10. Wang, Zhi & Zhang, Qinghua, 2014. "Fundamental factors in the housing markets of China," Journal of Housing Economics, Elsevier, vol. 25(C), pages 53-61.
    11. Zhang, Yanbing & Hua, Xiuping & Zhao, Liang, 2012. "Exploring determinants of housing prices: A case study of Chinese experience in 1999–2010," Economic Modelling, Elsevier, vol. 29(6), pages 2349-2361.
    12. Wen‐Den Chen, 2006. "An approximate likelihood function for panel data with a mixed ARMA(p, q) remainder disturbance model," Journal of Time Series Analysis, Wiley Blackwell, vol. 27(6), pages 911-921, November.
    13. Joshua Gallin, 2006. "The Long-Run Relationship between House Prices and Income: Evidence from Local Housing Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 34(3), pages 417-438, September.
    14. j. Albert Cao & Ramin Keivani, 2014. "The Limits and Potentials of the Housing Market Enabling Paradigm: An Evaluation of China's Housing Policies from 1998 to 2011," Housing Studies, Taylor & Francis Journals, vol. 29(1), pages 44-68, January.
    15. Kenny, Geoff, 1999. "Modelling the demand and supply sides of the housing market: evidence from Ireland1," Economic Modelling, Elsevier, vol. 16(3), pages 389-409, August.
    16. Zhang, Dingsheng & Cheng, Wenli & Ng, Yew-Kwang, 2013. "Increasing returns, land use controls and housing prices in China," Economic Modelling, Elsevier, vol. 31(C), pages 789-795.
    17. Wen, Xing-Chun & He, Ling-Yun, 2015. "Housing demand or money supply? A new Keynesian dynamic stochastic general equilibrium model on China’s housing market fluctuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 432(C), pages 257-268.
    18. Selcuk, Cemil, 2013. "Motivated sellers and predation in the housing market," Economic Modelling, Elsevier, vol. 32(C), pages 203-214.
    19. Zhou, Zhengyi, 2016. "Overreaction to policy changes in the housing market: Evidence from Shanghai," Regional Science and Urban Economics, Elsevier, vol. 58(C), pages 26-41.
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    Cited by:

    1. Chen, W.D., 2018. "Upward wage rigidity and Japan's dispatched worker system," Economic Modelling, Elsevier, vol. 73(C), pages 152-162.
    2. Fan, Ying, 2022. "Demand shocks and price stickiness in housing market dynamics," Economic Modelling, Elsevier, vol. 110(C).
    3. Qian, Biyu & Wang, Gang-Jin & Feng, Yusen & Xie, Chi, 2022. "Partial cross-quantilogram networks: Measuring quantile connectedness of financial institutions," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).

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    More about this item

    Keywords

    Housing market; Market failure; Transaction cost; Mean reversion; Persistency; Bootstrap method;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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