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Hedonic Models and House Price Index Numbers

Author

Listed:
  • Robert J. Hill

    (Department of Economics, University of Graz, 8010 Graz, Austria)

  • Alicia N. Rambaldi

    (School of Economics, University of Queensland, Brisbane, Qld 4072, Australia)

Abstract

We survey some recent developments in the literature on hedonic price indices for housing. The main classes of hedonic methods are presented along with some new methods that have become popular recently. A number of new approaches are then considered for controlling for location in hedonic models. Next we consider how hedonic models can be used to construct separate price indices for land and structures. Significant progress has been made recently in this field. The survey concludes with a discussion of ways of computing higher frequency (e.g., weekly) hedonic price indices, and ways of deriving house price indices for the whole housing stock, as opposed to just those properties that have traded recently.

Suggested Citation

  • Robert J. Hill & Alicia N. Rambaldi, 2021. "Hedonic Models and House Price Index Numbers," CEPA Working Papers Series WP152021, School of Economics, University of Queensland, Australia.
  • Handle: RePEc:qld:uqcepa:169
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    File URL: https://economics.uq.edu.au/files/33032/Wp152021.pdf
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    References listed on IDEAS

    as
    1. Robert J. Hill & Daniel Melser, 2008. "Hedonic Imputation And The Price Index Problem: An Application To Housing," Economic Inquiry, Western Economic Association International, vol. 46(4), pages 593-609, October.
    2. Are Oust & Simen N. Hansen & Tobias R. Pettrem, 2020. "Combining Property Price Predictions from Repeat Sales and Spatially Enhanced Hedonic Regressions," The Journal of Real Estate Finance and Economics, Springer, vol. 61(2), pages 183-207, August.
    3. Tim Bollerslev & Andrew J. Patton & Wenjing Wang, 2016. "Daily House Price Indices: Construction, Modeling, and Longer‐run Predictions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(6), pages 1005-1025, September.
    4. W. Erwin Diewert & Jan de Haan & Rens Hendriks, 2015. "Hedonic Regressions and the Decomposition of a House Price Index into Land and Structure Components," Econometric Reviews, Taylor & Francis Journals, vol. 34(1-2), pages 106-126, February.
    5. Ariel Pakes, 2003. "A Reconsideration of Hedonic Price Indexes with an Application to PC's," American Economic Review, American Economic Association, vol. 93(5), pages 1578-1596, December.
    6. Philipp Otto & Wolfgang Schmid, 2018. "Spatiotemporal analysis of German real-estate prices," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(1), pages 41-72, January.
    7. Colwell, Peter F, 1998. "A Primer on Piecewise Parabolic Multiple Regression Analysis via Estimations of Chicago CBD Land Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 87-97, July.
    8. Case, Bradford & Quigley, John M, 1991. "The Dynamics of Real Estate Prices," The Review of Economics and Statistics, MIT Press, vol. 73(1), pages 50-58, February.
    9. Xiaolong Liu, 2013. "Spatial and Temporal Dependence in House Price Prediction," The Journal of Real Estate Finance and Economics, Springer, vol. 47(2), pages 341-369, August.
    10. W. Erwin DIEWERT & Jan de HAAN & Rens HENDRIKS, 2011. "The Decomposition of a House Price Index into Land and Structures Components: A Hedonic Regression Approach," The Valuation Journal, The National Association of Authorized Romanian Valuers, vol. 6(1), pages 58-105.
    11. Burnett-Isaacs,, Kate & Diewert, Erwin & Huang, Ning, 2017. "Alternative Approaches for Resale Housing Price Indexes," Microeconomics.ca working papers erwin_diewert-2017-6, Vancouver School of Economics, revised 08 May 2017.
    12. Alicia N. Rambaldi & Ryan R. J. McAllister & Cameron S. Fletcher, 2015. "Decoupling land values in residential property prices: smoothing methods for hedonic imputed price indices," Discussion Papers Series 549, School of Economics, University of Queensland, Australia.
    13. Robert J. Hill & Michael Scholz, 2018. "Can Geospatial Data Improve House Price Indexes? A Hedonic Imputation Approach with Splines," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(4), pages 737-756, December.
    14. Karl L. Guntermann & Crocker Liu & Adam D. Nowak, 2016. "Price Indexes for Short Horizons, Thin Markets or Smaller Cities," Journal of Real Estate Research, American Real Estate Society, vol. 38(1), pages 93-128.
    15. Raphael W. Bostic & Stanley D. Longhofer & Christian L. Redfearn, 2007. "Land Leverage: Decomposing Home Price Dynamics," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 35(2), pages 183-208, June.
    16. Robert J. Hill & Michael Scholz & Chihiro Shimizu & Miriam Steurer, 2018. "An evaluation of the methods used by European countries to compute their official house price Indices," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Études Économiques (INSEE), issue 500-501-5, pages 221-238.
    17. Marc Francke, 2010. "Repeat Sales Index for Thin Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 41(1), pages 24-52, July.
    18. Clapp, John M., 1980. "The elasticity of substitution for land: The effects of measurement errors," Journal of Urban Economics, Elsevier, vol. 8(2), pages 255-263, September.
    19. R. Carter Hill & J. R. Knight & C. F. Sirmans, 1997. "Estimating Capital Asset Price Indexes," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 226-233, May.
    20. repec:bla:revinw:v:60:y:2014:i::p:s423-s448 is not listed on IDEAS
    21. Robert J. Hill, 2013. "Hedonic Price Indexes For Residential Housing: A Survey, Evaluation And Taxonomy," Journal of Economic Surveys, Wiley Blackwell, vol. 27(5), pages 879-914, December.
    22. Jorge Chica-Olmo & Rafael Cano-Guervos & Mario Chica-Rivas, 2019. "Estimation of Housing Price Variations Using Spatio-Temporal Data," Sustainability, MDPI, vol. 11(6), pages 1-21, March.
    23. Diewert, Erwin, 2007. "The Paris OECD-IMF Workshop on Real Estate Price Indexes: Conclusions and Future Directions," Economics working papers diewert-07-01-03-08-12-12, Vancouver School of Economics, revised 31 Jan 2007.
    24. Alfred Larm Teye & Daniel Felix Ahelegbey, 2017. "Spatial and Temporal House Price Diffusion in the Netherlands: A Bayesian Network Approach," ERES eres2017_337, European Real Estate Society (ERES).
    25. Alicia N. Rambaldi & D.S. Prasada Rao, 2013. "Econometric Modeling and Estimation of Theoretically Consistent Housing Price Indexes," CEPA Working Papers Series WP042013, School of Economics, University of Queensland, Australia.
    26. Teye, Alfred Larm & Ahelegbey, Daniel Felix, 2017. "Detecting spatial and temporal house price diffusion in the Netherlands: A Bayesian network approach," Regional Science and Urban Economics, Elsevier, vol. 65(C), pages 56-64.
    27. Jack Triplett, 2004. "Handbook on Hedonic Indexes and Quality Adjustments in Price Indexes: Special Application to Information Technology Products," OECD Science, Technology and Industry Working Papers 2004/9, OECD Publishing.
    28. Alicia N. Rambaldi & Cameron S. Fletcher, 2014. "Hedonic Imputed Property Price Indexes: The Effects of Econometric Modeling Choices," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(S2), pages 423-448, November.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Adoption of hedonic indices; Controlling for location; Land and structure indices; Higher frequency indices;
    All these keywords.

    JEL classification:

    • 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
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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