IDEAS home Printed from https://ideas.repec.org/a/ire/issued/v13n022010p190-217.html
   My bibliography  Save this article

Submarket, Heterogeneity and Hedonic Prediction Accuracy of Real Estate Prices: Evidence from Shanghai

Author

Listed:
  • Jie Chen

    (Fudan University)

  • Qianjin Hao

    (Fudan University)

Abstract

This paper contributes to the literature by examining how much the prediction accuracy of real estate prices could be improved by applying hedonic equations at suitably defined disaggregate levels and incorporating directional heterogeneity of distance gradients. We build our empirical analysis on a large-scale database of real estate projects sold between 2005 and 2007 in Shanghai. Our analysis suggests that the Shanghai real estate market is a complex aggregate and taking into account submarket and directional heterogeneity in hedonic regressions could provide considerable benefits in improving the precision of real estate price predictions.

Suggested Citation

  • Jie Chen & Qianjin Hao, 2010. "Submarket, Heterogeneity and Hedonic Prediction Accuracy of Real Estate Prices: Evidence from Shanghai," International Real Estate Review, Global Social Science Institute, vol. 13(2), pages 190-217.
    • Handle: RePEc:ire:issued:v:13:n:02:2010:p:190-217
    as

    Download full text from publisher

    File URL: https://www.gssinst.org/irer/wp-content/uploads/2020/10/vol-13-no-2-submarket-heterogeneity-and-hedonic-prediction-accuracy-of-real-estate-prices.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Dubin, Robin A, 1998. "Predicting House Prices Using Multiple Listings Data," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 35-59, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Simon K.C. Cheung, 2017. "A Localized Model for Residential Property Valuation: Nearest Neighbor with Attribute Differences," International Real Estate Review, Global Social Science Institute, vol. 20(2), pages 221-250.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ming Li & Guojun Zhang & Yunliang Chen & Chunshan Zhou, 2019. "Evaluation of Residential Housing Prices on the Internet: Data Pitfalls," Complexity, Hindawi, vol. 2019, pages 1-15, February.
    2. Marius Th?riault & Fran?ois Des Rosiers and Jean Dub?, 2007. "Testing the Temporal Stability of Accessibility Value in Residential Hedonic Prices," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2007(3), pages 5-46.
    3. Prodosh Simlai, 2018. "Spatial Dependence, Idiosyncratic Risk, and the Valuation of Disaggregated Housing Data," The Journal of Real Estate Finance and Economics, Springer, vol. 57(2), pages 192-230, August.
    4. Stephenson, Kurt & Speir, Cameron & Shabman, Leonard A. & Bosch, Darrell J., 2001. "The Influence Of Residential Development Patterns On Local Government Costs And Revenues," Report Papers 14833, Virginia Tech, Rural Economic Analysis Program (REAP).
    5. Irfan Muhammad, 2017. "Disamenity impact of Nala Lai (open sewer) on house rent in Rawalpindi city," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(1), pages 77-97, January.
    6. Jos魍ar𨁍ontero-Lorenzo & Beatriz Larraz-Iribas, 2012. "Space-time approach to commercial property prices valuation," Applied Economics, Taylor & Francis Journals, vol. 44(28), pages 3705-3715, October.
    7. Cameron, Trudy Ann, 2006. "Directional heterogeneity in distance profiles in hedonic property value models," Journal of Environmental Economics and Management, Elsevier, vol. 51(1), pages 26-45, January.
    8. Shimizu, Chihiro & Nishimura, Kiyohiko G. & Watanabe, Tsutomu, 2016. "House prices at different stages of the buying/selling process," Regional Science and Urban Economics, Elsevier, vol. 59(C), pages 37-53.
    9. Chun-Chang Lee & Chi-Ming Liang & Hui-Chuan Hong, 2020. "The Impact of a Mass Rapid Transit System on Neighborhood Housing Prices: An Application of Difference-In-Difference and Spatial Econometrics," Real Estate Management and Valuation, Sciendo, vol. 28(1), pages 28-40, March.
    10. Christopher Coombs & Nikias Sarafoglou & William Crosby, 2012. "Property Taxation, Capitalization, and the Economic Implications of Raising Property Taxes," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 18(2), pages 151-161, May.
    11. Walsh, Patrick & Griffiths, Charles & Guignet, Dennis & Klemick, Heather, 2017. "Modeling the Property Price Impact of Water Quality in 14 Chesapeake Bay Counties," Ecological Economics, Elsevier, vol. 135(C), pages 103-113.
    12. Helen R. Neill & David M. Hassenzahl & Djeto D. Assane, 2007. "Estimating the Effect of Air Quality: Spatial versus Traditional Hedonic Price Models," Southern Economic Journal, John Wiley & Sons, vol. 73(4), pages 1088-1111, April.
    13. Dubé, Jean & Rosiers, François Des & Thériault, Marius & Dib, Patricia, 2011. "Economic impact of a supply change in mass transit in urban areas: A Canadian example," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(1), pages 46-62, January.
    14. Leech, D. & Campos, E., 2000. "Is Comprehensive Education Really Free? A Study of the Effects of Secondary School Admissions Policies on House Prices," The Warwick Economics Research Paper Series (TWERPS) 581, University of Warwick, Department of Economics.
    15. Reid Ewing & Harry W. Richardson & Keith Bartholomew & Arthur C. Nelson & Chang-Hee Christine Bae, 2014. "Compactness vs. Sprawl Revisited: Converging Views," CESifo Working Paper Series 4571, CESifo.
    16. Joshua C. Hall & Donald J. Lacombe & Amir Neto & James Young, 2022. "Bayesian Estimation of the Hierarchical SLX Model with an Application to Housing Markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(2), pages 360-373, April.
    17. Bing Zhu & Roland Füss & Nico Rottke, 2011. "The Predictive Power of Anisotropic Spatial Correlation Modeling in Housing Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 42(4), pages 542-565, May.
    18. Dubin, Robin A., 1998. "Spatial Autocorrelation: A Primer," Journal of Housing Economics, Elsevier, vol. 7(4), pages 304-327, December.
    19. Cem Ertur & Thiaw Kalidou, 2005. "Growth and Spatial Dependence - The Mankiw, Romer and Weil model revisited," ERSA conference papers ersa05p660, European Regional Science Association.
    20. Stephen Malpezzi, "undated". "Hedonic Pricing Models: A Selective and Applied Review," Wisconsin-Madison CULER working papers 02-05, University of Wisconsin Center for Urban Land Economic Research.

    More about this item

    Keywords

    Hedonic analysis; Prediction accuracy; Submarket;
    All these keywords.

    JEL classification:

    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ire:issued:v:13:n:02:2010:p:190-217. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: IRER Graduate Assistant/Webmaster (email available below). General contact details of provider: https://www.gssinst.org/gssinst/index.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.