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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
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    2. 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 Etudes Economiques (INSEE), issue 500-501-5, pages 221-238.
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    19. 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.
    20. 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).
    21. 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.
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    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    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.
    29. 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.
    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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