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A Spatiotemporal Autoregressive Price Index for the Paris Office Property Market

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  • Ingrid Nappi-Choulet Pr.
  • Tristan-Pierre Maury

Abstract

This article applies the spatiotemporal hedonic approach to the analysis of office transaction prices in the Paris property market ("i.e"., central Paris and its inner suburbs). The analysis focuses primarily on the market's two main business districts (the Central Business District and the La Défense District). We find that spatial and temporal dependence effects are strongly present in these submarkets. Additionally, we propose a hybrid method for incorporating a temporal regime switch into the spatiotemporal autoregressive model. The regime switching around 1997 ("i.e.", in the presence of temporal heterogeneity) substantially affects the significance of spatial and temporal dependences. Finally, we build a new price index that incorporates both spatiotemporal dependences and temporal heterogeneity. This index differs strongly from the usual hedonic price index. Copyright (c) 2009 American Real Estate and Urban Economics Association.

Suggested Citation

  • Ingrid Nappi-Choulet Pr. & Tristan-Pierre Maury, 2009. "A Spatiotemporal Autoregressive Price Index for the Paris Office Property Market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 37(2), pages 305-340.
  • Handle: RePEc:bla:reesec:v:37:y:2009:i:2:p:305-340
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    Cited by:

    1. Nappi-Choulet, Ingrid & Décamps, Aurélien, 2011. "Is Sustainability Attractive for Corporate Real Estate Decisions ?," ESSEC Working Papers WP1106, ESSEC Research Center, ESSEC Business School.
    2. Ingrid Nappi-Choulet & Aurélien Decamps, 2012. "The impact of energy efficiency and green performance on the value of corporate real estate portfolios," ERES eres2012_145, European Real Estate Society (ERES).
    3. Jean Dubé & Diègo Legros, 2013. "Dealing with spatial data pooled over time in statistical models," Letters in Spatial and Resource Sciences, Springer, vol. 6(1), pages 1-18, March.
    4. Thanos, Sotirios & Dubé, Jean & Legros, Diègo, 2016. "Putting time into space: the temporal coherence of spatial applications in the housing market," Regional Science and Urban Economics, Elsevier, vol. 58(C), pages 78-88.
    5. Ghysels, Eric & Plazzi, Alberto & Valkanov, Rossen & Torous, Walter, 2013. "Forecasting Real Estate Prices," Handbook of Economic Forecasting, Elsevier.
    6. Badi H. Baltagi & Georges Bresson & Jean‐Michel Etienne, 2015. "Hedonic Housing Prices in Paris: An Unbalanced Spatial Lag Pseudo‐Panel Model with Nested Random Effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(3), pages 509-528, April.
    7. Konstantin A. Kholodilin & Andreas Mense, 2012. "Internet-Based Hedonic Indices of Rents and Prices for Flats: Example of Berlin," Discussion Papers of DIW Berlin 1191, DIW Berlin, German Institute for Economic Research.
    8. Robert J. Hill & Michael Scholz, 2014. "Incorporating Geospatial Data in House Price Indexes: A Hedonic Imputation Approach with Splines," Graz Economics Papers 2014-05, University of Graz, Department of Economics.
    9. repec:kap:jrefec:v:56:y:2018:i:2:d:10.1007_s11146-017-9598-z is not listed on IDEAS
    10. Ingrid Nappi‐Choulet & Tristan‐Pierre Maury, 2011. "A Spatial And Temporal Autoregressive Local Estimation For The Paris Housing Market," Journal of Regional Science, Wiley Blackwell, vol. 51(4), pages 732-750, October.
    11. Xiaolong Liu, 2013. "Spatial and Temporal Dependence in House Price Prediction," The Journal of Real Estate Finance and Economics, Springer, vol. 47(2), pages 341-369, August.
    12. Baltagi, Badi H. & Bresson, Georges, 2011. "Maximum likelihood estimation and Lagrange multiplier tests for panel seemingly unrelated regressions with spatial lag and spatial errors: An application to hedonic housing prices in Paris," Journal of Urban Economics, Elsevier, vol. 69(1), pages 24-42, January.
    13. Andrea Chegut & Piet Eichholtz & Paulo Rodrigues, 2015. "Spatial Dependence in International Office Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 51(2), pages 317-350, August.
    14. Sotirios Thanos & Abigail L. Bristow & Mark R. Wardman, 2015. "Residential Sorting And Environmental Externalities: The Case Of Nonlinearities And Stigma In Aviation Noise Values," Journal of Regional Science, Wiley Blackwell, vol. 55(3), pages 468-490, June.

    More about this item

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • R33 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Nonagricultural and Nonresidential Real Estate Markets

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