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Managing hedonic housing price indexes: The French experience

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  • Gouriéroux, Christian
  • Laferrère, Anne

Abstract

Despite their theoretical advantages, hedonic housing price indexes are not so commonly computed by statistical agencies or real estate professionals. Many published indexes still rely on mean or median prices, or favor repeat-sales methods, which require less information about the attributes of the housing units and less econometric expertise on the part of the index compilers, but may be less accurate and robust. In France as in other countries where housing sales have to be recorded in front of a notary, data on transaction prices and characteristics of dwellings are available. Such data have been centralized since 1994, and quarterly hedonic housing price indexes have been computed for more than 10 years. This paper describes the institutional setting of housing transactions in France, and the collaboration between the notaries and the national statistical agency (INSEE). The former are responsible for data collection and regular computation, whereas the latter takes scientific responsibility for the method. The detailed information on the individual properties transacted remains proprietary data, but disaggregated indexes are publicly and freely available. This organization and assignment of roles has proven effective and might be extended to countries with similar institutional settings.

Suggested Citation

  • Gouriéroux, Christian & Laferrère, Anne, 2009. "Managing hedonic housing price indexes: The French experience," Journal of Housing Economics, Elsevier, vol. 18(3), pages 206-213, September.
  • Handle: RePEc:eee:jhouse:v:18:y:2009:i:3:p:206-213
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    References listed on IDEAS

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    Cited by:

    1. Davor Kunovac & Enes Đozović & Gorana Lukinić & Andreja Pufnik, 2008. "Use of the Hedonic Method to Calculate an Index of Real Estate Prices in Croatia," Working Papers 19, The Croatian National Bank, Croatia.
    2. Juan Carmona Pidal & Markus Lampe & Joan Ramón Rosés, 2012. "Housing Markets during the Rural-Urban Transition: Evidence from early 20th Century Spain," Working Papers 0030, European Historical Economics Society (EHES).
    3. Jing Wu & Yongheng Deng & Hongyu Liu, 2014. "House Price Index Construction in the Nascent Housing Market: The Case of China," The Journal of Real Estate Finance and Economics, Springer, vol. 48(3), pages 522-545, April.
    4. Fabian Y.R.P. Bocart & Christian M. Hafner, 2012. "Volatility of price indices for heterogeneous goods," SFB 649 Discussion Papers SFB649DP2012-039, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    5. Hill, Robert J. & Melser, Daniel & Syed, Iqbal, 2009. "Measuring a boom and bust: The Sydney housing market 2001-2006," Journal of Housing Economics, Elsevier, vol. 18(3), pages 193-205, September.
    6. Liao, Wen-Chi & Wang, Xizhu, 2012. "Hedonic house prices and spatial quantile regression," Journal of Housing Economics, Elsevier, vol. 21(1), pages 16-27.
    7. Ferrara, L. & Vigna, O., 2009. "Cyclical relationships between GDP and housing market in France: Facts and factors at play," Working papers 268, Banque de France.

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