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Physical Real Estate: A Paris Repeat Sales Residential Index

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Abstract

In this paper we present the repeat sales index methodology developed by Case and Shiller (1987) and its estimation problem. We particularly describe the problem arising from the time intervals construction for the estimation. We then apply this methodology to the Paris residential market. We use the CD-BIEN database that contains more than 220 000 repeat sales transactions for residential properties in the Paris area covering the period 1973-2001 period. This index based on returns is compared to the official one used in France for Paris based on single prices, the Notaires/INSEE index. We then underline the robustness of in the index estimation according to its periodicity by the way of the return and volatility estimation. The index sensibility to the time period is studied in the last part. We conclude that i) the estimation is quite robust whatever the estimation period is, and ii) this index is significantly different from the official residential index for Paris

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  • Baroni, Michel & Barthélémy, Fabrice & Mokrane, Mahdi, 2004. "Physical Real Estate: A Paris Repeat Sales Residential Index," ESSEC Working Papers DR 04007, ESSEC Research Center, ESSEC Business School.
  • Handle: RePEc:ebg:essewp:dr-04007
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    1. Maurer, Raimond & Pitzer, Martin & Sebastian, Steffen, 2001. "Construction of a Transaction Based Real Estate Index for the Paris Housing Market," Sonderforschungsbereich 504 Publications 01-17, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    2. Case, Bradford & Quigley, John M, 1991. "The Dynamics of Real Estate Prices," The Review of Economics and Statistics, MIT Press, vol. 73(1), pages 50-58, February.
    3. Goetzmann, William Nelson, 1992. "The Accuracy of Real Estate Indices: Repeat Sale Estimators," The Journal of Real Estate Finance and Economics, Springer, vol. 5(1), pages 5-53, March.
    4. 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 125-137, March.
    5. Mahdi Mokrane & Michel Baroni, 2001. "Physical Real Estate : Risk Factors and Investor Behaviour," ERES eres2001_236, European Real Estate Society (ERES).
    6. Gatzlaff, Dean H & Haurin, Donald R, 1997. "Sample Selection Bias and Repeat-Sales Index Estimates," The Journal of Real Estate Finance and Economics, Springer, vol. 14(1-2), pages 33-50, Jan.-Marc.
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    Cited by:

    1. de Vries, Paul & de Haan, Jan & van der Wal, Erna & Mariën, Gust, 2009. "A house price index based on the SPAR method," Journal of Housing Economics, Elsevier, vol. 18(3), pages 214-223, September.
    2. Baroni, Michel & Barthélémy, Fabrice & Mokrane, Mahdi, 2007. "Optimal Holding Period for a Real Estate Portfolio," ESSEC Working Papers DR 07008, ESSEC Research Center, ESSEC Business School.
    3. Paul de Vries & Frank Vastman, 2011. "Towards an index for the rental sector: a model for the Flanders housing market," ERES eres2011_335, European Real Estate Society (ERES).
    4. Charles-Olivier Amédée-Manesme & Michel Baroni & Fabrice Barthélémy & Etienne Dupuy, 2011. "Combining Monte Carlo Simulations and Options to Manage the Risk of Real Estate Portfolios," Post-Print hal-00671067, HAL.
    5. S. Jansen & P. Vries & H. Coolen & C. Lamain & P. Boelhouwer, 2008. "Developing a House Price Index for The Netherlands: A Practical Application of Weighted Repeat Sales," The Journal of Real Estate Finance and Economics, Springer, vol. 37(2), pages 163-186, August.
    6. Arnaud Simon, 2009. "Quantifying the reversibility phenomenon for the repeat-sales index," Journal of Real Estate Research, American Real Estate Society, vol. 31(1), pages 27-62.

    More about this item

    Keywords

    Real estate indexes; Repeat sales indexes;

    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • G00 - Financial Economics - - General - - - General

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