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A housing-demographic multi-layered nonlinear model to test regulation strategies

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  • Ramon Huerta
  • Fernando Corbacho
  • Luis F. Lago-Fernandez

Abstract

We propose a novel multi-layered nonlinear model that is able to capture and predict the housing-demographic dynamics of the real-state market by simulating the transitions of owners among price-based house layers. This model allows us to determine which parameters are most effective to smoothen the severity of a potential market crisis. The International Monetary Fund (IMF) has issued severe warnings about the current real-state bubble in the United States, the United Kingdom, Ireland, the Netherlands, Australia and Spain in the last years. Madrid (Spain), in particular, is an extreme case of this bubble. It is, therefore, an excellent test case to analyze housing dynamics in the context of the empirical data provided by the Spanish National Institute of Statistics and other sources of data. The model is able to predict the mean house occupancy, and shows that i) the house market conditions in Madrid are unstable but not critical; and ii) the regulation of the construction rate is more effective than interest rate changes. Our results indicate that to accommodate the construction rate to the total population of first-time buyers is the most effective way to maintain the system near equilibrium conditions. In addition, we show that to raise interest rates will heavily affect the poorest housing bands of the population while the middle class layers remain nearly unaffected.

Suggested Citation

  • Ramon Huerta & Fernando Corbacho & Luis F. Lago-Fernandez, 2008. "A housing-demographic multi-layered nonlinear model to test regulation strategies," Papers 0809.0979, arXiv.org.
  • Handle: RePEc:arx:papers:0809.0979
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    References listed on IDEAS

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    1. Linneman, Peter, 1986. "An empirical test of the efficiency of the housing market," Journal of Urban Economics, Elsevier, vol. 20(2), pages 140-154, September.
    2. Mankiw, N. Gregory & Weil, David N., 1989. "The baby boom, the baby bust, and the housing market," Regional Science and Urban Economics, Elsevier, vol. 19(2), pages 235-258, May.
    3. Malpezzi, Stephen, 1999. "A Simple Error Correction Model of House Prices," Journal of Housing Economics, Elsevier, vol. 8(1), pages 27-62, March.
    4. Bin, Okmyung, 2004. "A prediction comparison of housing sales prices by parametric versus semi-parametric regressions," Journal of Housing Economics, Elsevier, vol. 13(1), pages 68-84, March.
    5. Quigley, John M., 2001. "Real Estate and the Asian Crisis," Journal of Housing Economics, Elsevier, vol. 10(2), pages 129-161, June.
    6. Stephen Malpezzi, 1990. "Urban Housing and Financial Markets: Some International Comparisons," Urban Studies, Urban Studies Journal Limited, vol. 27(6), pages 971-1022, December.
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