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Hedonic Imputed Property Price Indexes: The Effects of Econometric Modeling Choices

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  • Alicia N. Rambaldi
  • Cameron S. Fletcher

Abstract

In this paper we consider how choices in the econometric approach to impute prices affect the Törnqvist and Jevons hedonic imputed indexes. We compare the rolling window approach to estimation by smoothing methods. The main difference between the rolling window and the smoothing methods is in the way information is weighted. We propose that the Kalman filter smoother is the most appropriate estimator for the task as it optimally weights current and past information. We show the rolling window approach does not produce estimates that are attenuated over time leading to chain drift in the index. We also compare two alternative specifications to model property location. The empirical section uses data from a small and homogeneous market in the state of Queensland, Australia. The Törnqvist and Jevons indexes differ in value during periods of market volatility. This seems expected given their different weighting of transactions and the likelihood that price movements of properties at the upper and lower end of the price distribution might differ during periods of market volatility.

Suggested Citation

  • 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.
  • Handle: RePEc:bla:revinw:v:60:y:2014:i:s2:p:s423-s448
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    File URL: http://hdl.handle.net/10.1111/roiw.12143
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    References listed on IDEAS

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    1. 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.
    2. Pace, R. Kelley & Barry, Ronald & Gilley, Otis W. & Sirmans, C. F., 2000. "A method for spatial-temporal forecasting with an application to real estate prices," International Journal of Forecasting, Elsevier, vol. 16(2), pages 229-246.
    3. 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.
    4. Francke, M K & de Vos, A F, 2000. "Efficient Computation of Hierarchical Trends," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(1), pages 51-57, January.
    5. 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.
    6. Eurostat, 2013. "Handbook on Residential Property Prices Indices," World Bank Publications, The World Bank, number 17280, November.
    7. Durbin, James & Koopman, Siem Jan, 2012. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, edition 2, number 9780199641178.
    8. 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.
    9. J. R. Knight & Jonathan Dombrow & C. F. Sirmans, 1995. "A Varying Parameters Approach to Constructing House Price Indexes," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 23(2), pages 187-205.
    10. Schwann, Gregory M, 1998. "A Real Estate Price Index for Thin Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 16(3), pages 269-287, May.
    11. Marc K. Francke & Gerjan A. Vos, 2004. "The Hierarchical Trend Model for Property Valuation and Local Price Indices," The Journal of Real Estate Finance and Economics, Springer, vol. 28(2_3), pages 179-208, March.
    12. Quan, Daniel C & Quigley, John M, 1991. "Price Formation and the Appraisal Function in Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 4(2), pages 127-146, June.
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    1. repec:eee:regeco:v:66:y:2017:i:c:p:108-118 is not listed on IDEAS
    2. Marshall Reinsdorf & Robert Hill, 2014. "The 32nd IARIW General Conference, Boston, Massachusetts, 2012: Editors’ Introduction," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(S2), pages 277-280, November.
    3. Iqbal A. Syed & Jan De Haan, 2017. "Age, Time, Vintage, And Price Indexes: Measuring The Depreciation Pattern Of Houses," Economic Inquiry, Western Economic Association International, vol. 55(1), pages 580-600, January.
    4. Mick Silver, 2016. "How to Better Measure Hedonic Residential Property Price Indexes," IMF Working Papers 16/213, International Monetary Fund.

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