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A formal framework for hedonic elementary price indices

Author

Listed:
  • Hans Wolfgang Brachinger

    (University of Fribourg)

  • Michael Beer

    (University of Fribourg)

  • Olivier Schöni

    (University of Bern)

Abstract

Hedonic methods are considered state of the art for handling quality changes when compiling consumer price indices. The present article proposes first a mathematical description of characteristics and of elementary aggregates. In a following step, a hedonic econometric model is formulated and hedonic elementary population indices are defined. We emphasise that population indices are unobservable economic parameters that need to be estimated by suitable sample indices. It is shown that within the framework developed here, many of the hedonic index formulae used in practice are identified as sample versions corresponding to particular hedonic elementary population indices. The article closes with an empirical part on quarterly housing data where the considered hedonic indices are estimated along with their bootstrapped confidence intervals. It is shown that the computed confidence intervals together with the results from theory suggest a particular answer to the price index problem.

Suggested Citation

  • Hans Wolfgang Brachinger & Michael Beer & Olivier Schöni, 2018. "A formal framework for hedonic elementary price indices," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 102(1), pages 67-93, January.
  • Handle: RePEc:spr:alstar:v:102:y:2018:i:1:d:10.1007_s10182-017-0293-4
    DOI: 10.1007/s10182-017-0293-4
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    References listed on IDEAS

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    1. W. Erwin Diewert & Saeed Heravi & Mick Silver, 2009. "Hedonic Imputation versus Time Dummy Hedonic Indexes," NBER Chapters, in: Price Index Concepts and Measurement, pages 161-196, National Bureau of Economic Research, Inc.
    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. Mick Silver & Saeed Heravi, 2003. "The Measurement of Quality-Adjusted Price Changes," NBER Chapters, in: Scanner Data and Price Indexes, pages 277-316, National Bureau of Economic Research, Inc.
    4. Brachinger, Hans Wolfgang, 2002. "Statistical Theory of Hedonic Price Indices," DQE Working Papers 1, Department of Quantitative Economics, University of Freiburg/Fribourg Switzerland, revised Aug 2003.
    5. Stevenson, Simon, 2004. "New empirical evidence on heteroscedasticity in hedonic housing models," Journal of Housing Economics, Elsevier, vol. 13(2), pages 136-153, June.
    6. Davidson, Russell & Flachaire, Emmanuel, 2008. "The wild bootstrap, tamed at last," Journal of Econometrics, Elsevier, vol. 146(1), pages 162-169, September.
    7. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    8. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    9. Silver, Mick & Heravi, Saeed, 2007. "Why elementary price index number formulas differ: Evidence on price dispersion," Journal of Econometrics, Elsevier, vol. 140(2), pages 874-883, October.
    10. Bruce Curry & Peter Morgan & Mick Silver, 2001. "Hedonic regressions: mis-specification and neural networks," Applied Economics, Taylor & Francis Journals, vol. 33(5), pages 659-671.
    11. Vermeulen, Philip & Gábor, Enikö, 2014. "New evidence on elementary index bias," Working Paper Series 1754, European Central Bank.
    12. M. Fletcher & P. Gallimore & J. Mangan, 2000. "Heteroscedasticity in hedonic house price models," Journal of Property Research, Taylor & Francis Journals, vol. 17(2), pages 93-108, January.
    13. Robert Hill, 2011. "Hedonic Price Indexes for Housing," OECD Statistics Working Papers 2011/1, OECD Publishing.
    14. W. Erwin Diewert & John S. Greenlees & Charles R. Hulten, 2009. "Price Index Concepts and Measurement," NBER Books, National Bureau of Economic Research, Inc, number diew08-1.
    15. 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.
    16. 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.
    17. Mark Dickie & Charles Delorme & Jeffrey Humphreys, 1997. "Hedonic prices, goods-specific effects and functional form: inferences from cross-section time series data," Applied Economics, Taylor & Francis Journals, vol. 29(2), pages 239-249.
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