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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. 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.
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    14. 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.
    15. 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.
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