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Housing market dynamics: Evidence of mean reversion and downward rigidity

  • Gao, Andre
  • Lin, Zhenguo
  • Na, Carrie Fangzhou
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    House prices often exhibit serial correlation and mean reversion. Using two large panel datasets, this paper analyzes the price dynamics in two significantly different types of markets, cyclical (or volatile) and non-cyclical (or tame), by applying an autoregressive mean reversion (ARMR) model. Our results show that cyclical markets have larger AR coefficients than non-cyclical markets. As a result, house prices in cyclical markets tend to have larger price cycles. We also find that the upward periods have larger AR coefficients than the downward periods. This demonstrates that house prices are likely to overshoot the equilibrium in appreciating markets while experiencing downward rigidity during periods of decline. The model developed in this paper can produce a forecast with rich house price dynamics across markets. Our results can also be used to determine how house prices in overvalued markets will ultimately adjust.

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    Article provided by Elsevier in its journal Journal of Housing Economics.

    Volume (Year): 18 (2009)
    Issue (Month): 3 (September)
    Pages: 256-266

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    Handle: RePEc:eee:jhouse:v:18:y:2009:i:3:p:256-266
    Contact details of provider: Web page: http://www.elsevier.com/locate/inca/622881

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    1. Zemcik, Petr & Mikhed, Vyacheslav, 2009. "Do House Prices Reflect Fundamentals? Aggregate and Panel Data Evidence," ERES eres2009_275, European Real Estate Society (ERES).
    2. Glaeser, Edward L. & Gyourko, Joseph, 2008. "Arbitrage in Housing Markets," Working Paper Series rwp08-017, Harvard University, John F. Kennedy School of Government.
    3. Case, Karl E & Shiller, Robert J, 1989. "The Efficiency of the Market for Single-Family Homes," American Economic Review, American Economic Association, vol. 79(1), pages 125-37, March.
    4. Charles Leung, 2007. "Equilibrium Correlations of Asset Price and Return," The Journal of Real Estate Finance and Economics, Springer, vol. 34(2), pages 233-256, February.
    5. Malpezzi, Stephen, 1999. "A Simple Error Correction Model of House Prices," Journal of Housing Economics, Elsevier, vol. 8(1), pages 27-62, March.
    6. Oikarinen, Elias, 2009. "Household borrowing and metropolitan housing price dynamics - Empirical evidence from Helsinki," Journal of Housing Economics, Elsevier, vol. 18(2), pages 126-139, June.
    7. Glaeser, Edward L. & Gyourko, Joseph & Saiz, Albert, 2008. "Housing supply and housing bubbles," Journal of Urban Economics, Elsevier, vol. 64(2), pages 198-217, September.
    8. Vyacheslav Mikhed & Petr Zemcik, 2007. "Do House Prices Reflect Fundamentals? Aggregate and Panel Data Evidence," CERGE-EI Working Papers wp337, The Center for Economic Research and Graduate Education - Economic Institute, Prague.
    9. 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, 09.
    10. Meese Richard & Wallace Nancy, 1994. "Testing the Present Value Relation for Housing Prices: Should I Leave My House in San Francisco?," Journal of Urban Economics, Elsevier, vol. 35(3), pages 245-266, May.
    11. Meen, Geoffrey, 2002. "The Time-Series Behavior of House Prices: A Transatlantic Divide?," Journal of Housing Economics, Elsevier, vol. 11(1), pages 1-23, March.
    12. Sing, Tien-Foo & Tsai, I-Chun & Chen, Ming-Chi, 2006. "Price dynamics in public and private housing markets in Singapore," Journal of Housing Economics, Elsevier, vol. 15(4), pages 305-320, December.
    13. Dennis R. Capozza & Patric H. Hendershott & Charlotte Mack, 2004. "An Anatomy of Price Dynamics in Illiquid Markets: Analysis and Evidence from Local Housing Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 32(1), pages 1-32, 03.
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