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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.

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Bibliographic Info

Article provided by American Real Estate and Urban Economics Association in its journal Real Estate Economics.

Volume (Year): 37 (2009)
Issue (Month): 2 ()
Pages: 305-340

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Handle: RePEc:bla:reesec:v:37:y:2009:i:2:p:305-340

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  1. 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.
  2. Perron, P. & Bai, J., 1995. "Estimating and Testing Linear Models with Multiple Structural Changes," Cahiers de recherche 9552, Universite de Montreal, Departement de sciences economiques.
  3. 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.
  4. 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 203-22, Jan.-Marc.
  5. 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.
  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. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-56, July.
  8. 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.
  9. 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.
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Cited by:
  1. Ingrid Nappi-Choulet & Aurélien Décamps, 2011. "Is Sustainability Attractive for Corporate Real Estate Decisions ?," Post-Print hal-00609149, HAL.
  2. 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.
  3. Badi H. Baltagi & Georges Bresson & Jean-Michae Etienne, 2013. "Hedonic Housing Prices in Paris: An Unbalanced Spatial Lag Pseudo-Panel Model with Nested Random Effects," Center for Policy Research Working Papers 163, Center for Policy Research, Maxwell School, Syracuse University.
  4. 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.
  5. 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.
  6. 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.

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