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Dwelling Price Dynamics in Paris, France

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  • Meese, Richard A.
  • Wallace, Nancy E.

Abstract

Using transaction level data for dwellings in Paris, France over the period 1986-92, we find evidence consistent with the hypothesis that economic fundamentals constrain movements in Parisian dwelling prices over longer term horizons. The conclusion is based on the results of two different procedures for estimating an error correction model of housing prices based on supply and demand fundamentals. The error correction models suggest that the speed of adjustment in the Paris dwelling market is about 30% per month. The paper also introduces a new econometric methodology that permits simultaneous estimation of the parameters of a dynamic hedonic price model, the price index, and the parameters of a structural model for housing prices. The new methodology is compared with the more traditional two-step procedure of first estimating a price index, and then using the estimated index in subsequent structural modeling.

Suggested Citation

  • Meese, Richard A. & Wallace, Nancy E., 1998. "Dwelling Price Dynamics in Paris, France," Berkeley Program on Housing and Urban Policy, Working Paper Series qt62m2s40t, Berkeley Program on Housing and Urban Policy.
  • Handle: RePEc:cdl:bphupl:qt62m2s40t
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    References listed on IDEAS

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    1. Kenneth D. West, 1987. "A Specification Test for Speculative Bubbles," The Quarterly Journal of Economics, Oxford University Press, vol. 102(3), pages 553-580.
    2. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
    3. John Y. Campbell & Pierre Perron, 1991. "Pitfalls and Opportunities: What Macroeconomists Should Know About Unit Roots," NBER Chapters,in: NBER Macroeconomics Annual 1991, Volume 6, pages 141-220 National Bureau of Economic Research, Inc.
    4. 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.
    5. Kearl, J R, 1979. "Inflation, Mortgages, and Housing," Journal of Political Economy, University of Chicago Press, vol. 87(5), pages 1115-1138, October.
    6. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    7. Litterman, Robert B, 1983. "A Random Walk, Markov Model for the Distribution of Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 169-173, April.
    8. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 33(1), pages 125-132.
    9. Litterman, Robert B, 1983. "A Random Walk, Markov Model for the Distribution of Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 169-173, April.
    10. Flood, Robert P & Garber, Peter M, 1980. "Market Fundamentals versus Price-Level Bubbles: The First Tests," Journal of Political Economy, University of Chicago Press, vol. 88(4), pages 745-770, August.
    11. Perron, Pierre, 1990. "Testing for a Unit Root in a Time Series with a Changing Mean," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(2), pages 153-162, April.
    12. Richard Meese & Nancy Wallace, 1991. "Nonparametric Estimation of Dynamic Hedonic Price Models and the Construction of Residential Housing Price Indices," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 19(3), pages 308-332.
    13. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    14. Pagan, Adrian, 1984. "Econometric Issues in the Analysis of Regressions with Generated Regressors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(1), pages 221-247, February.
    15. Cleveland, William S. & Devlin, Susan J. & Grosse, Eric, 1988. "Regression by local fitting : Methods, properties, and computational algorithms," Journal of Econometrics, Elsevier, vol. 37(1), pages 87-114, January.
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    Cited by:

    1. Alain Trannoy & Alessandra Michelangeli & Fabrice Barthélémy, 2007. "La rénovation de la Goutte d'Or est-elle un succès ? Un diagnostic à l'aide d'indices de prix immobilier," Économie et Prévision, Programme National Persée, vol. 180(4), pages 107-126.

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