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Econometric Modelling of UK House Prices Using Accelerated Importance Sampling

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  • Richard, Jean-Francois
  • Zhang, Wei

Abstract

The authors consider stochastic and dynamic extensions of a model for U.K. house prices proposed by D. F. Hendry (1984). Numerical integrations are carried out by means of an accelerated importance sampling technique developed by J. F. Richard and W. Zhang (1996). The authors find that prices 'perfectly' adjust to a stochastic latent variable ('excess demand') whose distribution only depends upon observable characteristics of the market, not upon its own lagged values. Copyright 1996 by Blackwell Publishing Ltd

Suggested Citation

  • Richard, Jean-Francois & Zhang, Wei, 1996. "Econometric Modelling of UK House Prices Using Accelerated Importance Sampling," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 58(4), pages 601-613, November.
    • Handle: RePEc:bla:obuest:v:58:y:1996:i:4:p:601-13
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    Cited by:

    1. Ericsson, Neil R., 2017. "Economic forecasting in theory and practice: An interview with David F. Hendry," International Journal of Forecasting, Elsevier, vol. 33(2), pages 523-542.
    2. Hendry, David F. & Clements, Michael P., 2003. "Economic forecasting: some lessons from recent research," Economic Modelling, Elsevier, vol. 20(2), pages 301-329, March.
    3. Liesenfeld, Roman & Richard, Jean-Francois, 2003. "Univariate and multivariate stochastic volatility models: estimation and diagnostics," Journal of Empirical Finance, Elsevier, vol. 10(4), pages 505-531, September.
    4. Pierre Collin-Dufresne & Christopher S. Jones & Robert S. Goldstein, 2004. "Can Interest Rate Volatility be Extracted from the Cross Section of Bond Yields? An Investigation of Unspanned Stochastic Volatility," NBER Working Papers 10756, National Bureau of Economic Research, Inc.
    5. Neil R. Ericsson, 2021. "Dynamic Econometrics in Action: A Biography of David F. Hendry," International Finance Discussion Papers 1311, Board of Governors of the Federal Reserve System (U.S.).
    6. Perry Sadorsky, 2005. "Stochastic volatility forecasting and risk management," Applied Financial Economics, Taylor & Francis Journals, vol. 15(2), pages 121-135.

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