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Does the DiPasquale-Wheaton Model Explain the House Price Dynamics in China Cities?

Author

Listed:
  • Kenneth K. Chow

    (Hong Kong Institute for Monetary Research)

  • Matthew S. Yiu

    (Hong Kong Institute for Monetary Research)

  • Charles Ka Yui Leung

    (City University of Hong Kong)

  • Dickson C. Tam

    (China International Capital Corporation Limited)

Abstract

The "overheating" of the Chinese housing market in recent years has caught the attention of policy makers, the research community, as well as the general public. Leung and Wang (2007) shows that the qualitative features of the aggregate Chinese housing market are well captured by the DiPasquale-Wheaton (1992) model. This paper estimates a version of the DiPasquale-Wheaton (1994) model with four major Chinese cities: Beijing, Tianjin, Shanghai and Chongqing. It examines the factors which affect the housing price and construction. Policy implications and future research directions are also discussed.

Suggested Citation

  • Kenneth K. Chow & Matthew S. Yiu & Charles Ka Yui Leung & Dickson C. Tam, 2008. "Does the DiPasquale-Wheaton Model Explain the House Price Dynamics in China Cities?," Working Papers 212008, Hong Kong Institute for Monetary Research.
  • Handle: RePEc:hkm:wpaper:212008
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    References listed on IDEAS

    as
    1. Chen, Nan-Kuang, 2001. "Bank net worth, asset prices and economic activity," Journal of Monetary Economics, Elsevier, vol. 48(2), pages 415-436, October.
    2. Morris A. Davis, 2010. "housing and the business cycle," The New Palgrave Dictionary of Economics, Palgrave Macmillan.
    3. Eric A. Hanushek & Kuzey Yilmaz, 2007. "Schools and Location: Tiebout, Alonso, and Government Policy," NBER Working Papers 12960, National Bureau of Economic Research, Inc.
    4. DiPasquale Denise & Wheaton William C., 1994. "Housing Market Dynamics and the Future of Housing Prices," Journal of Urban Economics, Elsevier, vol. 35(1), pages 1-27, January.
    5. Piazzesi, Monika & Schneider, Martin & Tuzel, Selale, 2007. "Housing, consumption and asset pricing," Journal of Financial Economics, Elsevier, vol. 83(3), pages 531-569, March.
    6. Hanushek, Eric A., 2002. "Publicly provided education," Handbook of Public Economics,in: A. J. Auerbach & M. Feldstein (ed.), Handbook of Public Economics, edition 1, volume 4, chapter 30, pages 2045-2141 Elsevier.
    7. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Publishing House "SINERGIA PRESS", pages 112-134.
    8. Hanushek, Eric A., 2006. "School Resources," Handbook of the Economics of Education, Elsevier.
    9. William C. Wheaton, 1999. "Real Estate "Cycles": Some Fundamentals," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 27(2), pages 209-230.
    10. Hanushek, Eric & Yilmaz, Kuzey, 2007. "The complementarity of Tiebout and Alonso," Journal of Housing Economics, Elsevier, vol. 16(2), pages 243-261, June.
    11. Baxter, Marianne, 1991. "Business cycles, stylized facts, and the exchange rate regime: evidence from the United States," Journal of International Money and Finance, Elsevier, vol. 10(1), pages 71-88, March.
    12. Charles Ka Yui Leung & Wei Wang, 2007. "An Examination of the Chinese Housing Market through the Lens of the DiPasquale- Wheaton Model: a Graphical Attempt," International Real Estate Review, Asian Real Estate Society, vol. 10(2), pages 131-165.
    13. Nan-Kuang Chen & Hung-Jen Wang, 2007. "The Procyclical Leverage Effect Of Collateral Value On Bank Loans-Evidence From The Transaction Data Of Taiwan," Economic Inquiry, Western Economic Association International, vol. 45(2), pages 395-406, April.
    14. Denise DiPasquale & William C. Wheaton, 1992. "The Markets for Real Estate Assets and Space: A Conceptual Framework," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 20(2), pages 181-198.
    15. Hanushek, Eric A. & Quigley, John M., 1979. "The dynamics of the housing market: A stock adjustment model of housing consumption," Journal of Urban Economics, Elsevier, vol. 6(1), pages 90-111, January.
    16. King, Robert G. & Rebelo, Sergio T., 1993. "Low frequency filtering and real business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 17(1-2), pages 207-231.
    17. Yongheng Deng & Della Zheng & Changfeng Ling, 2005. "An Early Assessment of Residential Mortgage Performance in China," The Journal of Real Estate Finance and Economics, Springer, pages 117-136.
    18. King, Robert G & Plosser, Charles I & Rebelo, Sergio T, 2002. "Production, Growth and Business Cycles: Technical Appendix," Computational Economics, Springer;Society for Computational Economics, vol. 20(1-2), pages 87-116, October.
    19. Ross, Stephen & Yinger, John, 1999. "Sorting and voting: A review of the literature on urban public finance," Handbook of Regional and Urban Economics,in: P. C. Cheshire & E. S. Mills (ed.), Handbook of Regional and Urban Economics, edition 1, volume 3, chapter 47, pages 2001-2060 Elsevier.
    20. Wensheng Peng & DicksonC. Tam & MatthewS. Yiu, 2008. "Property Market And The Macroeconomy Of Mainland China: A Cross Region Study," Pacific Economic Review, Wiley Blackwell, vol. 13(2), pages 240-258, May.
    21. Eschenbach, Felix & Schuknecht, Ludger, 2002. "Asset prices and fiscal balances," Working Paper Series 0141, European Central Bank.
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    More about this item

    Keywords

    Housing Market Dynamics; Cross-city Difference; Panel Data Method;

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General

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