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Hedonic house prices and spatial quantile regression

  • Liao, Wen-Chi
  • Wang, Xizhu

Despite its long history, hedonic pricing for housing valuation remains an active research area, and applications of new estimation methods continually push research frontiers. However, housing studies regarding Chinese cities are limited because of the short history of China’s free housing market. Such studies may, nonetheless, provide new insights given the nation’s current transitional stage of economic development. Therefore, this research makes use of publicly accessible sources to construct a new micro-dataset for an emerging Chinese city, Changsha, and it incorporates quantile regression with spatial econometric modeling to examine how implicit prices of housing characteristics may vary across the conditional distribution of house prices. Substantial variations are found, and the intuitions and implications are discussed. Additionally, the spatial dependence exhibits a U-shape pattern. The dependence is strong in the upper and lower parts of the response distribution, but it is little in the medium range.

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Article provided by Elsevier in its journal Journal of Housing Economics.

Volume (Year): 21 (2012)
Issue (Month): 1 ()
Pages: 16-27

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Handle: RePEc:eee:jhouse:v:21:y:2012:i:1:p:16-27
Contact details of provider: Web page: http://www.elsevier.com/locate/inca/622881

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  1. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
  2. Philip Kostov, 2009. "A Spatial Quantile Regression Hedonic Model of Agricultural Land Prices," Spatial Economic Analysis, Taylor & Francis Journals, vol. 4(1), pages 53-72.
  3. McMillen, Daniel P., 2008. "Changes in the distribution of house prices over time: Structural characteristics, neighborhood, or coefficients?," Journal of Urban Economics, Elsevier, vol. 64(3), pages 573-589, November.
  4. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521608275, june. pag.
  5. Jie Chen & Qianjin Hao, 2008. "The impacts of distance to CBD on housing prices in Shanghai: a hedonic analysis," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 6(3), pages 291-302.
  6. Gouriéroux, Christian & Laferrère, Anne, 2009. "Managing hedonic housing price indexes: The French experience," Journal of Housing Economics, Elsevier, vol. 18(3), pages 206-213, September.
  7. Jeanty, P. Wilner & Partridge, Mark & Irwin, Elena, 2010. "Estimation of a spatial simultaneous equation model of population migration and housing price dynamics," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 343-352, September.
  8. Patrick Bayer & Robert McMillan & Kim Rueben, 2004. "An Equilibrium Model of Sorting in an Urban Housing Market," NBER Working Papers 10865, National Bureau of Economic Research, Inc.
  9. 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.
  10. Liangjun Su & Zhenlin Yang, 2007. "Instrumental Variable Quantile Estimation of Spatial Autoregressive Models," Development Economics Working Papers 22476, East Asian Bureau of Economic Research.
  11. Dorsey, Robert E. & Hu, Haixin & Mayer, Walter J. & Wang, Hui-chen, 2010. "Hedonic versus repeat-sales housing price indexes for measuring the recent boom-bust cycle," Journal of Housing Economics, Elsevier, vol. 19(2), pages 75-93, June.
  12. Stephen Mak & Lennon Choy & Winky Ho, 2010. "Quantile Regression Estimates of Hong Kong Real Estate Prices," Urban Studies, Urban Studies Journal Limited, vol. 47(11), pages 2461-2472, October.
  13. Yves Zenou, 2012. "Housing policies in China: Issues and options," Regional Science Policy & Practice, Wiley Blackwell, vol. 4(4), pages 393-417, November.
  14. Sunding, David L. & Swoboda, Aaron M., 2010. "Hedonic analysis with locally weighted regression: An application to the shadow cost of housing regulation in Southern California," Regional Science and Urban Economics, Elsevier, vol. 40(6), pages 550-573, November.
  15. Margot Lutzenhiser & Noelwah R. Netusil, 2001. "The Effect Of Open Spaces On A Home'S Sale Price," Contemporary Economic Policy, Western Economic Association International, vol. 19(3), pages 291-298, 07.
  16. N. Edward Coulson & Daniel P. McMillen, 2007. "The Dynamics of Intraurban Quantile House Price Indexes," Urban Studies, Urban Studies Journal Limited, vol. 44(8), pages 1517-1537, July.
  17. Dubin, Robin A., 1998. "Spatial Autocorrelation: A Primer," Journal of Housing Economics, Elsevier, vol. 7(4), pages 304-327, December.
  18. Christophe Muller & Tae-Hwan Kim, 2004. "Two-Stage Quantile Regression When The First Stage Is Based On Quantile Regression," Working Papers. Serie AD 2004-03, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  19. Diewert, W. Erwin & Nakamura, Alice O. & Nakamura, Leonard I., 2009. "The housing bubble and a new approach to accounting for housing in a CPI," Journal of Housing Economics, Elsevier, vol. 18(3), pages 156-171, September.
  20. Rappaport, Jordan & Kahn, Matthew E. & Glaeser, Edward, 2008. "Why Do The Poor Live In Cities? The Role of Public Transportation," Scholarly Articles 2958224, Harvard University Department of Economics.
  21. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74, pages 132.
  22. J. Barkley Rosser, 2009. "Introduction," Chapters, in: Handbook of Research on Complexity, chapter 1 Edward Elgar Publishing.
  23. Sue, Eddie D.W. & Wong, Wei-Kang, 2010. "The political economy of housing prices: Hedonic pricing with regression discontinuity," Journal of Housing Economics, Elsevier, vol. 19(2), pages 133-144, June.
  24. Follain, James R. & Jimenez, Emmanuel, 1985. "Estimating the demand for housing characteristics: A survey and critique," Regional Science and Urban Economics, Elsevier, vol. 15(1), pages 77-107, February.
  25. Clapp, John M. & Salavei, Katsiaryna, 2010. "Hedonic pricing with redevelopment options: A new approach to estimating depreciation effects," Journal of Urban Economics, Elsevier, vol. 67(3), pages 362-377, May.
  26. Won Kim, Chong & Phipps, Tim T. & Anselin, Luc, 2003. "Measuring the benefits of air quality improvement: a spatial hedonic approach," Journal of Environmental Economics and Management, Elsevier, vol. 45(1), pages 24-39, January.
  27. Naoi, Michio & Seko, Miki & Sumita, Kazuto, 2009. "Earthquake risk and housing prices in Japan: Evidence before and after massive earthquakes," Regional Science and Urban Economics, Elsevier, vol. 39(6), pages 658-669, November.
  28. Chernozhukov, Victor & Hansen, Christian, 2006. "Instrumental quantile regression inference for structural and treatment effect models," Journal of Econometrics, Elsevier, vol. 132(2), pages 491-525, June.
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