Neighborhood weight matrix in a spatial-quantile real estate modeling environment: Evidence from Brazil
This paper analysis two central influences on real estate urban market: (a) neighborhood as cognitively-perceived identity units, and (b) heterogeneity of preferences of households. In doing so, two methodological changes are applied. Firstly, a neighborhood spatial matrix is proposed and compared to regularly used matrices and, secondly, a spatial-quantile regression is tested. The results highlight the fact that spatial influence brought to regression models through weight matrix should be carefully used, and that the matrixâ€šÃ„Ã´s choice might carry unobserved and unwanted effects into the estimation. Results also demonstrated that using information of neighborhood identity can optimize the understanding of cityâ€šÃ„Ã´s complex influence on real estate markets. Finally, the quantile estimation should always be tested against in real estate estimation, as preferences of households seem to differ significantly for different levels of prices.
|Date of creation:||Sep 2011|
|Date of revision:|
|Contact details of provider:|| Postal: Welthandelsplatz 1, 1020 Vienna, Austria|
Web page: http://www.ersa.org
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Liangjun Su & Zhenlin Yang, 2007.
"Instrumental Variable Quantile Estimation of Spatial Autoregressive Models,"
Development Economics Working Papers
22476, East Asian Bureau of Economic Research.
- Zhenlin Yang & Liangjun Su, 2007. "Instrumental Variable Quantile Estimation of Spatial Autoregressive Models," Working Papers 05-2007, Singapore Management University, School of Economics.
- Smirnov, Oleg & Anselin, Luc, 2001. "Fast maximum likelihood estimation of very large spatial autoregressive models: a characteristic polynomial approach," Computational Statistics & Data Analysis, Elsevier, vol. 35(3), pages 301-319, January.
- Nikolay Nenovsky & S. Statev, 2006. "Introduction," Post-Print halshs-00260898, HAL.
- Wheaton, William C., 2004. "Commuting, congestion, and employment dispersal in cities with mixed land use," Journal of Urban Economics, Elsevier, vol. 55(3), pages 417-438, May.
- Joachim Zietz & Emily Zietz & G. Sirmans, 2008.
"Determinants of House Prices: A Quantile Regression Approach,"
The Journal of Real Estate Finance and Economics,
Springer, vol. 37(4), pages 317-333, November.
- Joachim Zietz & Emily N. Zietz & G. Stacy Sirmans., 2007. "Determinants of House Prices: A Quantile Regression Approach," Working Papers 200706, Middle Tennessee State University, Department of Economics and Finance.
- M. Ruth & K. Donaghy & P. Kirshen, 2006. "Introduction," Chapters, in: Regional Climate Change and Variability, chapter 1 Edward Elgar Publishing.
- Roberta Capello & Peter Nijkamp, 2003. "The theoretical and methodological toolbox of urban economics: from and towards where?," ERSA conference papers ersa03p510, European Regional Science Association.
- Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
When requesting a correction, please mention this item's handle: RePEc:wiw:wiwrsa:ersa10p424. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Gunther Maier)
If references are entirely missing, you can add them using this form.