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Asymptotic properties of imputed hedonic price indices

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  • Schöni, Olivier

Abstract

Hedonic price indices are currently considered to be the state-of-the-art approach to computing constant-quality price indices. In particular, hedonic price indices based on imputed prices have become popular both among practitioners and researchers to analyze price changes at an aggregate level. Although widely employed, little research has been conducted to investigate their asymptotic properties and the influence of the econometric model on the parameters estimated by these price indices. The present paper therefore tries to fill the actual knowledge gap by analyzing the asymptotic properties of the most commonly used imputed hedonic price indices in the case of linear and linearizable models. The obtained results are used to gauge the impact of bias adjusted predictions on hedonic imputed indices in the case of log-linear hedonic functions with normal distributed errors.

Suggested Citation

  • Schöni, Olivier, 2014. "Asymptotic properties of imputed hedonic price indices," LSE Research Online Documents on Economics 64500, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:64500
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    File URL: http://eprints.lse.ac.uk/64500/
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    References listed on IDEAS

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    1. Kagie, M. & van Wezel, M.C., 2006. "Hedonic price models and indices based on boosting applied to the Dutch housing market," Econometric Institute Research Papers EI 2006-17, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. 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.
    3. Robert Hill, 2011. "Hedonic Price Indexes for Housing," OECD Statistics Working Papers 2011/1, OECD Publishing.
    4. Lafaye de Micheaux, Pierre & Liquet, Benoit, 2009. "Understanding Convergence Concepts: A Visual-Minded and Graphical Simulation-Based Approach," The American Statistician, American Statistical Association, vol. 63(2), pages 173-178.
    5. 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.
    6. Eurostat, 2013. "Handbook on Residential Property Prices Indices," World Bank Publications, The World Bank, number 17280.
    7. Brachinger, Hans Wolfgang & Beer, Michael, 2009. "The Econometric Foundations of Hedonic Elementary Price Indices," DQE Working Papers 12, Department of Quantitative Economics, University of Freiburg/Fribourg Switzerland.
    8. Jonathan H. Mark & Michael A. Goldberg, 1984. "Alternative Housing Price Indices: An Evaluation," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 12(1), pages 30-49.
    9. Dorsey, Robert E. & Hu, Haixin & Mayer, Walter J. & Wang, Hui-chen, 2010. "Hedonic versus repeat-sales housing price indexes for measuring the recent boom-bust cycle," Journal of Housing Economics, Elsevier, vol. 19(2), pages 75-93, June.
    10. Richard Meese & Nancy Wallace, 1991. "Nonparametric Estimation of Dynamic Hedonic Price Models and the Construction of Residential Housing Price Indices," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 19(3), pages 308-332.
    11. Diewert, Erwin, 2011. "Alternative Approaches to Measuring House Price Inflation," Economics working papers erwin_diewert-2011-1, Vancouver School of Economics, revised 07 Jan 2011.
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    More about this item

    Keywords

    price indices; hedonic regression; imputation; asymptotic theory;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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