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Hedonic Price Indexes: A Comparison of Imputation, Time Dummy and ’Re-Pricing’ Methods

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  • Haan Jan de

    (Statistics Netherlands, Division of Macro-Economic Statistics and Dissemination, P.O. Box 24500, 2490 HA The Hague, The Netherlands)

Abstract

The main approaches to measuring hedonic indexes in the academic literature are the imputation approach and the time dummy approach. This paper compares both approaches, discusses an alternative method called hedonic re-pricing, and comments on a recent contribution by Diewert et al. (2009). The aim is to explain the differences between the various hedonic approaches as well as their similarities, and to point to the implications for statistical agencies. Hedonic price indexes can be weighted or unweighted and the paper addresses the issue of choice of regression weights. For unweighted indexes it is shown that the ’full’ hedonic imputation approach and the time dummy approach implicitly leave the matched part of the indexes unaffected, just like ’single’ and ’double’ hedonic imputation do explicitly.

Suggested Citation

  • Haan Jan de, 2010. "Hedonic Price Indexes: A Comparison of Imputation, Time Dummy and ’Re-Pricing’ Methods," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(6), pages 772-791, December.
    • Handle: RePEc:jns:jbstat:v:230:y:2010:i:6:p:772-791
    DOI: 10.1515/jbnst-2010-0611
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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. Erwin Diewert, 2005. "Weighted Country Product Dummy Variable Regressions And Index Number Formulae," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 51(4), pages 561-570, December.
    4. Feenstra, Robert C, 1995. "Exact Hedonic Price Indexes," The Review of Economics and Statistics, MIT Press, vol. 77(4), pages 634-653, November.
    5. Ariel Pakes, 2003. "A Reconsideration of Hedonic Price Indexes with an Application to PC's," American Economic Review, American Economic Association, vol. 93(5), pages 1578-1596, December.
    6. Ernst R. Berndt & Neal J. Rappaport, 2001. "Price and Quality of Desktop and Mobile Personal Computers: A Quarter-Century Historical Overview," American Economic Review, American Economic Association, vol. 91(2), pages 268-273, May.
    7. 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, March.
    8. 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.
    9. Teekens, R & Koerts, J, 1972. "Some Statistical Implications of the Log Transformation of Multiplicative Models," Econometrica, Econometric Society, vol. 40(5), pages 793-819, September.
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