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Hedonic house prices and spatial quantile regression

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  • Liao, Wen-Chi
  • Wang, Xizhu

Abstract

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.

Suggested Citation

  • Liao, Wen-Chi & Wang, Xizhu, 2012. "Hedonic house prices and spatial quantile regression," Journal of Housing Economics, Elsevier, vol. 21(1), pages 16-27.
    • Handle: RePEc:eee:jhouse:v:21:y:2012:i:1:p:16-27
    DOI: 10.1016/j.jhe.2011.11.001
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    Cited by:

    1. Dieter Gerdesmeier & Andreja Lenarčič & Barbara Roffia, 2015. "An alternative method for identifying booms and busts in the Euro area housing market," Applied Economics, Taylor & Francis Journals, vol. 47(5), pages 499-518, January.
    2. Michel Baroni & Fabrice Barthélémy & Francois Des Rosiers, 2013. "Market Heterogeneity and Determinants of Paris Apartment Prices: A Quantile Regression Approach," ERES eres2013_79, European Real Estate Society (ERES).
    3. O'Donoghue, Cathal & Lopez, Jeremey & O’Neill, Stephen & Ryan, Mary, 2015. "AHedonic Price Model of Self-Assessed Agricultural Land Values," 150th Seminar, October 22-23, 2015, Edinburgh, Scotland 212639, European Association of Agricultural Economists.
    4. Chuanwang Sun & Xiaochun Meng & Shuijun Peng, 2017. "Effects of Waste-to-Energy Plants on China’s Urbanization: Evidence from a Hedonic Price Analysis in Shenzhen," Sustainability, MDPI, Open Access Journal, vol. 9(3), pages 1-18, March.
    5. Zhang, Lei, 2016. "Flood hazards impact on neighborhood house prices: A spatial quantile regression analysis," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 12-19.
    6. Villar, Jaume García & Raya, Josep Maria, 2015. "Use of a Gini index to examine housing price heterogeneity: A quantile approach," Journal of Housing Economics, Elsevier, vol. 29(C), pages 59-71.
    7. Cai, Hongbin & Wang, Zhi & Zhang, Qinghua, 2017. "To build above the limit? Implementation of land use regulations in urban China," Journal of Urban Economics, Elsevier, vol. 98(C), pages 223-233.
    8. Thomschke, Lorenz, 2015. "Changes in the distribution of rental prices in Berlin," Regional Science and Urban Economics, Elsevier, vol. 51(C), pages 88-100.
    9. McMillen, Daniel & Shimizu, Chihiro, 2017. "Decompositions of Spatially Varying Quantile Distribution Estimates: The Rise and Fall of Tokyo House Prices," HIT-REFINED Working Paper Series 74, Institute of Economic Research, Hitotsubashi University.
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    11. Zahirovich-Herbert, Velma & Gibler, Karen M., 2014. "The effect of new residential construction on housing prices," Journal of Housing Economics, Elsevier, vol. 26(C), pages 1-18.
    12. Carlos Pestana BARROS & Zhongfei CHEN & Luis A. GIL-ALANA, 2013. "Long Memory in the Housing Price Indices in China," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 3(7), pages 785-807, July.
    13. Drelichman, Mauricio & González Agudo, David, 2014. "Housing and the cost of living in early modern Toledo," Explorations in Economic History, Elsevier, vol. 54(C), pages 27-47.
    14. Hernán Enríquez Sierra & Carlos Barreto Nieto & Carolina Correa Caro & Jacobo Campo Robledo, 2013. "Precio del suelo y regalías en Colombia: un análisis espacial para los municipios productores de petróleo," REVISTA DESARROLLO Y SOCIEDAD, UNIVERSIDAD DE LOS ANDES-CEDE, June.
    15. Fuchs, Benjamin & Fitzenberger, Bernd, 2013. "Tenancy Law Reform Act and Length of Tenancy Discount: Heterogenous Effects in a West German Household Sample," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79723, Verein für Socialpolitik / German Economic Association.
    16. Zhang, Lei & Leonard, Tammy, 2014. "Neighborhood impact of foreclosure: A quantile regression approach," Regional Science and Urban Economics, Elsevier, vol. 48(C), pages 133-143.
    17. Cathrine Ulla Jensen, 2016. "Households’ willingness to pay for access to outdoor recreation: An application of the house price method using spatial quantile regressions," IFRO Working Paper 2016/09, University of Copenhagen, Department of Food and Resource Economics.
    18. McMillen, Daniel, 2015. "Conditionally parametric quantile regression for spatial data: An analysis of land values in early nineteenth century Chicago," Regional Science and Urban Economics, Elsevier, vol. 55(C), pages 28-38.
    19. Lu Liu & Paul M. Jakus, 2015. "Hedonic Valuation in an Urban High-Rise Housing Market," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(2), pages 259-273, June.
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    21. Claudio Othón Cruz Martínez, 2016. "Una aproximación al valor social y ambiental de las áreas verdes urbanas de la Ciudad de México," Graduate theses (Spanish) TESG 011, CIDE, División de Economía.
    22. Wang, Yiming & Feng, Suwei & Deng, Zhongwei & Cheng, Shuangyu, 2016. "Transit premium and rent segmentation: A spatial quantile hedonic analysis of Shanghai Metro," Transport Policy, Elsevier, vol. 51(C), pages 61-69.
    23. repec:bap:journl:170203 is not listed on IDEAS
    24. Sofie R. Waltl, 2015. "Variation across price segments and locations: A comprehensive quantile regression analysis of the Sydney housing market," Graz Economics Papers 2015-09, University of Graz, Department of Economics.

    More about this item

    Keywords

    Hedonic pricing model; Quantile regression; Spatial autocorrelation; Spatial model; China housing market;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R22 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Other Demand

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