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.
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- Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
- M. Ruth & K. Donaghy & P. Kirshen, 2006. "Introduction," Chapters, in: Regional Climate Change and Variability, chapter 1 Edward Elgar.
- 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.
- Zhenlin Yang & Liangjun Su, 2007.
"Instrumental Variable Quantile Estimation of Spatial Autoregressive Models,"
05-2007, Singapore Management University, School of Economics.
- Liangjun Su & Zhenlin Yang, 2007. "Instrumental Variable Quantile Estimation of Spatial Autoregressive Models," Development Economics Working Papers 22476, East Asian Bureau of Economic Research.
- 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.
- Joachim Zietz & Emily N. Zietz & G. Stacy Sirmans., 2007.
"Determinants of House Prices: A Quantile Regression Approach,"
200706, Middle Tennessee State University, Department of Economics and Finance.
- 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.
- 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.
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