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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.

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, June.
  • Handle: RePEc:bla:reesec:v:37:y:2009:i:2:p:305-340
    DOI: 10.1111/j.1540-6229.2009.00244.x
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    5. 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.
    6. 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.
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    8. 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.
    9. 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.
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    13. Hongxia Wang & Jinde Wang & Bo Huang, 2012. "Prediction for spatio-temporal models with autoregression in errors," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 24(1), pages 217-244.
    14. 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.
    15. 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.
    16. Nappi-Choulet, Ingrid & Décamps, Aurélien, 2011. "Is Sustainability Attractive for Corporate Real Estate Decisions ?," ESSEC Working Papers WP1106, ESSEC Research Center, ESSEC Business School.
    17. Marc Francke & Alex Van de Minne, 2021. "Modeling unobserved heterogeneity in hedonic price models," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(4), pages 1315-1339, December.
    18. 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.
    19. Sinem Güler KANGALLI-UYAR, 2020. "The Matrix Exponential Spatial Specification Approach for Big Datasets: The Analysis of Istanbul Office Market," Sosyoekonomi Journal, Sosyoekonomi Society, issue 28(43).
    20. Ghysels, Eric & Plazzi, Alberto & Valkanov, Rossen & Torous, Walter, 2013. "Forecasting Real Estate Prices," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 509-580, Elsevier.
    21. Eda Ustaoglu & Filipe Batista e Silva & Carlo Lavalle, 2020. "Quantifying and modelling industrial and commercial land-use demand in France," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(1), pages 519-549, January.
    22. Ilir Nase & Nick van Assendelft & Hilde Remøy, 2019. "Rent Premiums and Vertical Sorting in Amsterdam’s Multi-Tenant Office Buildings," The Journal of Real Estate Finance and Economics, Springer, vol. 59(3), pages 419-460, October.
    23. Eddie Chi Man Hui & Cong Liang & Ziyou Wang & Yuan Wang, 2016. "The roles of developer’s status and competitive intensity in presale pricing in a residential market: A study of the spatio-temporal model in Hangzhou, China," Urban Studies, Urban Studies Journal Limited, vol. 53(6), pages 1203-1224, May.
    24. Eli Beracha & William G. Hardin & Hilla Maaria Skiba, 2018. "Real Estate Market Segmentation: Hotels as Exemplar," The Journal of Real Estate Finance and Economics, Springer, vol. 56(2), pages 252-273, February.
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    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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