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A Spatiotemporal Autoregressive Price Index for the Paris Office Property Market

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This paper applies the spatiotemporal hedonic approach to 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 CBD and the La Defense 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 into the spatiotemporal autoregressive model proposed by Pace, Barry, Clapp and Rodriguez (1998). 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

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  • Nappi-Choulet, Ingrid & Maury, Tristan-Pierre, 2008. "A Spatiotemporal Autoregressive Price Index for the Paris Office Property Market," ESSEC Working Papers DR 08008, ESSEC Research Center, ESSEC Business School.
  • Handle: RePEc:ebg:essewp:dr-08008
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    1. Julie Le Gallo & Sandy Dall’erba, 2006. "Evaluating the Temporal and Spatial Heterogeneity of the European Convergence Process, 1980–1999," Journal of Regional Science, Wiley Blackwell, vol. 46(2), pages 269-288, May.
    2. Edwin S. Mills, 1992. "Office Rent Determinants in the Chicago Area," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 20(2), pages 273-287, June.
    3. Gelfand, Alan E, et al, 1998. "Spatio-Temporal Modeling of Residential Sales Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(3), pages 312-321, July.
    4. Goodman, Allen C. & Thibodeau, Thomas G., 2003. "Housing market segmentation and hedonic prediction accuracy," Journal of Housing Economics, Elsevier, vol. 12(3), pages 181-201, September.
    5. Yong Tu & Shi‐Ming Yu & Hua Sun, 2004. "Transaction‐Based Office Price Indexes: A Spatiotemporal Modeling Approach," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 32(2), pages 297-328, June.
    6. Bourassa, Steven C. & Hamelink, Foort & Hoesli, Martin & MacGregor, Bryan D., 1999. "Defining Housing Submarkets," Journal of Housing Economics, Elsevier, vol. 8(2), pages 160-183, June.
    7. Can, Ayse, 1992. "Specification and estimation of hedonic housing price models," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 453-474, September.
    8. Clapp, John M. & Wang, Yazhen, 2006. "Defining neighborhood boundaries: Are census tracts obsolete?," Journal of Urban Economics, Elsevier, vol. 59(2), pages 259-284, March.
    9. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    10. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
    11. William C. Wheaton & Raymond G. Torto, 1988. "Vacancy Rates and the Future of Office Rents," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 16(4), pages 430-436, December.
    12. Bourassa, Steven C. & Hoesli, Martin & Peng, Vincent S., 2003. "Do housing submarkets really matter?," Journal of Housing Economics, Elsevier, vol. 12(1), pages 12-28, March.
    13. Pace, R Kelley & Barry, Ronald & Clapp, John M. & Rodriquez, Mauricio, 1998. "Spatiotemporal Autoregressive Models of Neighborhood Effects," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 15-33, July.
    14. Kerry D. Vandell & Jonathan S. Lane, 1989. "The Economics of Architecture and Urban Design: Some Preliminary Findings," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 17(2), pages 235-260, June.
    15. Peter F. Colwell & Henry J. Munneke & Joseph W. Trefzger, 1998. "Chicago's Office Market: Price Indices, Location and Time," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 26(1), pages 83-106, March.
    16. John Doiron & James D. Shilling & C.F. Sirmans, 1992. "Do Market Rents Reflect the Value of Special Building Features? The Case of Office Atriums," Journal of Real Estate Research, American Real Estate Society, vol. 7(2), pages 147-156.
    17. Charles M. Tiebout, 1956. "A Pure Theory of Local Expenditures," Journal of Political Economy, University of Chicago Press, vol. 64, pages 416-416.
    18. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    19. James R. Frew & G. Donald Jud, 1988. "The Vacancy Rate and Rent Levels in the Commercial Office Market," Journal of Real Estate Research, American Real Estate Society, vol. 3(1), pages 1-8.
    20. Steven Bourassa & Eva Cantoni & Martin Hoesli, 2007. "Spatial Dependence, Housing Submarkets, and House Price Prediction," The Journal of Real Estate Finance and Economics, Springer, vol. 35(2), pages 143-160, August.
    21. Goodman, Allen C. & Thibodeau, Thomas G., 1998. "Housing Market Segmentation," Journal of Housing Economics, Elsevier, vol. 7(2), pages 121-143, June.
    22. J. R. Knight & Jonathan Dombrow & C. F. Sirmans, 1995. "A Varying Parameters Approach to Constructing House Price Indexes," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 23(2), pages 187-205, June.
    23. Geweke, J, 1993. "Bayesian Treatment of the Independent Student- t Linear Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(S), pages 19-40, Suppl. De.
    24. Kelejian, Harry H. & Robinson, Dennis P., 1992. "Spatial autocorrelation : A new computationally simple test with an application to per capita county police expenditures," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 317-331, September.
    25. Alan E. Gelfand & Mark D. Ecker & John R. Knight & C. F. Sirmans, 2004. "The Dynamics of Location in Home Price," The Journal of Real Estate Finance and Economics, Springer, vol. 29(2), pages 149-166, September.
    26. Can, Ayse & Megbolugbe, Isaac, 1997. "Spatial Dependence and House Price Index Construction," The Journal of Real Estate Finance and Economics, Springer, vol. 14(1-2), pages 203-222, Jan.-Marc.
    27. Henry J. Munneke & Barrett A. Slade, 2001. "A Metropolitan Transaction‐Based Commercial Price Index: A Time‐Varying Parameter Approach," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 29(1), pages 55-84.
    28. Petros S. Sivitanides, 1997. "The Rent Adjustment Process and the Structural Vacancy Rate in the Commercial Real Estate Market," Journal of Real Estate Research, American Real Estate Society, vol. 13(2), pages 195-210.
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    Cited by:

    1. 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).
    2. 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.
    3. 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.
    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. Bing Zhu & Stanimira Milcheva, 2020. "The Pricing of Spatial Linkages in Companies’ Underlying Assets," The Journal of Real Estate Finance and Economics, Springer, vol. 61(3), pages 443-475, October.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Nappi-Choulet, Ingrid & Décamps, Aurélien, 2011. "Is Sustainability Attractive for Corporate Real Estate Decisions ?," ESSEC Working Papers WP1106, ESSEC Research Center, ESSEC Business School.
    13. 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.
    14. 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).
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.

    More about this item

    Keywords

    Hedonic Prices; Paris Office Property Market; Spatiotemporal Autoregressive Price Index; Temporal Heterogeneity;

    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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