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Higher frequency hedonic property price indices: a state-space approach

Author

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  • Robert J. Hill

    (University of Graz)

  • Alicia N. Rambaldi

    (The University of Queensland)

  • Michael Scholz

    (University of Graz)

Abstract

The hedonic imputation method allows characteristic shadow prices to evolve over time. These shadow prices are used to construct matched samples of predicted prices, which are inserted into standard price index formulas. We use a spatio-temporal model to improve the method’s effectiveness on housing data at higher frequencies. The problem is that at higher frequencies, there may not be enough observations per period to reliably estimate the characteristic shadow prices. In such cases, the reliability of the hedonic imputation method is improved by using a state-space formulation which yields estimates of the shadow prices that are weighted sums of previous periods’ information. In addition, the state-space representation of the model includes a geospatial spline surface which significantly reduces the number of parameters to be estimated when compared to the standard practice of including postcode dummies in the model. Empirically, using a novel criterion, we show that in higher frequency comparisons, our hedonic method outperforms competing alternatives.

Suggested Citation

  • Robert J. Hill & Alicia N. Rambaldi & Michael Scholz, 2021. "Higher frequency hedonic property price indices: a state-space approach," Empirical Economics, Springer, vol. 61(1), pages 417-441, July.
    • Handle: RePEc:spr:empeco:v:61:y:2021:i:1:d:10.1007_s00181-020-01862-y
    DOI: 10.1007/s00181-020-01862-y
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    1. Donald R. Haurin & Jessica L. Haurin & Taylor Nadauld & Anthony Sanders, 2010. "List Prices, Sale Prices and Marketing Time: An Application to U.S. Housing Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 38(4), pages 659-685, Winter.
    2. Silver, Mick & Heravi, Saeed, 2007. "The Difference Between Hedonic Imputation Indexes and Time Dummy Hedonic Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 239-246, April.
    3. Alicia Rambaldi & Prasada Rao, 2011. "Hedonic Predicted House Price Indices Using Time-Varying Hedonic Models with Spatial Autocorrelation," Discussion Papers Series 432, School of Economics, University of Queensland, Australia.
    4. Davidson, Russell & MacKinnon, James G, 1981. "Several Tests for Model Specification in the Presence of Alternative Hypotheses," Econometrica, Econometric Society, vol. 49(3), pages 781-793, May.
    5. Jiang, Liang & Phillips, Peter C.B. & Yu, Jun, 2015. "New methodology for constructing real estate price indices applied to the Singapore residential market," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 121-131.
    6. L von Auer & M Trede, 2012. "The dynamics of brand equity: a hedonic regression approach to the laser printer market," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 63(10), pages 1351-1362, October.
    7. 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.
    8. Diewert, Erwin & Shimizu, Chihiro, 2015. "Residential Property Price Indices For Tokyo," Macroeconomic Dynamics, Cambridge University Press, vol. 19(8), pages 1659-1714, December.
    9. Simon N. Wood, 2011. "Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 73(1), pages 3-36, January.
    10. 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.
    11. Goodman, Allen C. & Thibodeau, Thomas G., 2003. "Housing market segmentation and hedonic prediction accuracy," Journal of Housing Economics, Elsevier, vol. 12(3), pages 181-201, September.
    12. Eurostat, 2013. "Handbook on Residential Property Prices Indices," World Bank Publications - Books, The World Bank Group, number 17280, December.
    13. Leslie Rosenthal, 2006. "Efficiency and Seasonality in the UK Housing Market, 1991–2001," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(3), pages 289-317, June.
    14. Ludwig Auer, 2007. "Hedonic price measurement: the CCC approach," Empirical Economics, Springer, vol. 33(2), pages 289-311, September.
    15. Steven C. Bourassa & Martin Hoesli, 2016. "High Frequency House Price Indexes with Scarce Data," Swiss Finance Institute Research Paper Series 16-27, Swiss Finance Institute.
    16. Durbin, James & Koopman, Siem Jan, 2012. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, edition 2, number 9780199641178, Decembrie.
    17. Koopman, Siem Jan & Harvey, Andrew, 2003. "Computing observation weights for signal extraction and filtering," Journal of Economic Dynamics and Control, Elsevier, vol. 27(7), pages 1317-1333, May.
    18. Clapp, John M & Giaccotto, Carmelo, 1992. "Estimating Price Trends for Residential Property: A Comparison of Repeat Sales and Assessed Value Methods," The Journal of Real Estate Finance and Economics, Springer, vol. 5(4), pages 357-374, December.
    19. Diewert, W. E., 1976. "Exact and superlative index numbers," Journal of Econometrics, Elsevier, vol. 4(2), pages 115-145, May.
    20. Daniel Melser, 2018. "Scanner Data Price Indexes: Addressing Some Unresolved Issues," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(3), pages 516-522, July.
    21. 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.
    22. Chihiro Shimizu & Kiyohiko Nishimura, 2007. "Pricing Structure in Tokyo Metropolitan Land Markets and its Structural Changes: Pre-bubble, Bubble, and Post-bubble Periods," The Journal of Real Estate Finance and Economics, Springer, vol. 35(4), pages 475-496, November.
    23. Sheharyar Bokhari & David Geltner, 2012. "Estimating Real Estate Price Movements for High Frequency Tradable Indexes in a Scarce Data Environment," The Journal of Real Estate Finance and Economics, Springer, vol. 45(2), pages 522-543, August.
    24. 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.
    25. Mick Silver, 2016. "How to Better Measure Hedonic Residential Property Price Indexes," IMF Working Papers 2016/213, International Monetary Fund.
    26. Zvi Griliches, 1961. "Hedonic Price Indexes for Automobiles: An Econometric of Quality Change," NBER Chapters, in: The Price Statistics of the Federal Goverment, pages 173-196, National Bureau of Economic Research, Inc.
    27. Guo, Xiaoyang & Zheng, Siqi & Geltner, David & Liu, Hongyu, 2014. "A new approach for constructing home price indices: The pseudo repeat sales model and its application in China," Journal of Housing Economics, Elsevier, vol. 25(C), pages 20-38.
    28. repec:bla:revinw:v:60:y:2014:i::p:s423-s448 is not listed on IDEAS
    29. Gatzlaff, Dean H & Haurin, Donald R, 1997. "Sample Selection Bias and Repeat-Sales Index Estimates," The Journal of Real Estate Finance and Economics, Springer, vol. 14(1-2), pages 33-50, Jan.-Marc.
    30. 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.
    31. David Geltner & David C. Ling, 2006. "Considerations in the Design and Construction of Investment Real Estate Research Indices," Journal of Real Estate Research, American Real Estate Society, vol. 28(4), pages 411-444.
    32. Shimizu Chihiro & Nishimura Kiyohiko G. & Watanabe Tsutomu, 2010. "Housing Prices in Tokyo: A Comparison of Hedonic and Repeat Sales Measures," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(6), pages 792-813, December.
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    Cited by:

    1. Robert J. Hill & Alicia N. Rambaldi, 2022. "Hedonic Models and House Price Index Numbers," Springer Books, in: Duangkamon Chotikapanich & Alicia N. Rambaldi & Nicholas Rohde (ed.), Advances in Economic Measurement, chapter 0, pages 413-444, Springer.
    2. Hill, Robert J. & Trojanek, Radoslaw, 2022. "An evaluation of competing methods for constructing house price indexes: The case of Warsaw," Land Use Policy, Elsevier, vol. 120(C).

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    More about this item

    Keywords

    Housing market; Hedonic imputation; State-space model; Geospatial data; Spline; Quality adjustment and matched sample;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • 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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