IDEAS home Printed from https://ideas.repec.org/p/imf/imfwpa/2007-234.html
   My bibliography  Save this paper

Hedonic Imputation versus Time Dummy Hedonic Indexes

Author

Listed:
  • W. E. Diewert
  • Mick Silver
  • Saeed Heravi

Abstract

Statistical offices try to match item models when measuring inflation between two periods. However, for product areas with a high turnover of differentiated models, the use of hedonic indexes is more appropriate since they include unmatched new and old models. There are two main competing approaches to hedonic indexes are hedonic imputation (HI) indexes and dummy time hedonic (HD) indexes. This study provides a formal analysis of exactly why the results from the two approaches may differ and discusses the issue of choice between these approaches. An illustrative study for desktop PCs is provided.

Suggested Citation

  • W. E. Diewert & Mick Silver & Saeed Heravi, 2007. "Hedonic Imputation versus Time Dummy Hedonic Indexes," IMF Working Papers 2007/234, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:2007/234
    as

    Download full text from publisher

    File URL: http://www.imf.org/external/pubs/cat/longres.aspx?sk=21370
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Erwin Diewert, 2010. "Adjacent Period Dummy Variable Hedonic Regressions and Bilateral Index Number Theory," NBER Chapters, in: Contributions in Memory of Zvi Griliches, pages 759-786, National Bureau of Economic Research, Inc.
    2. 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.
    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. W. Erwin Diewert, 2003. "Hedonic Regressions. A Consumer Theory Approach," NBER Chapters, in: Scanner Data and Price Indexes, pages 317-348, National Bureau of Economic Research, Inc.
    7. Silver, Mick & Heravi, Saeed, 2005. "A Failure in the Measurement of Inflation: Results From a Hedonic and Matched Experiment Using Scanner Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 269-281, July.
    8. Diewert, Erwin, 2007. "Index Numbers," Economics working papers diewert-07-01-03-08-17-23, Vancouver School of Economics, revised 31 Jan 2007.
    9. 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.
    10. 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.
    11. Robert C. Feenstra & Matthew D. Shapiro, 2003. "Scanner Data and Price Indexes," NBER Books, National Bureau of Economic Research, Inc, number feen03-1.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Adam Gorajek, 2018. "Econometric Perspectives on Economic Measurement," RBA Research Discussion Papers rdp2018-08, Reserve Bank of Australia.
    2. Robert C. Feenstra & Christopher R. Knittel, 2009. "Reassessing the US Quality Adjustment to Computer Prices: The Role of Durability and Changing Software," NBER Chapters, in: Price Index Concepts and Measurement, pages 129-160, National Bureau of Economic Research, Inc.
    3. Mick Silver, 2016. "How to Better Measure Hedonic Residential Property Price Indexes," IMF Working Papers 2016/213, International Monetary Fund.
    4. 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.
    5. Mick Silver, 2009. "The Hedonic Country Product Dummy Method and Quality Adjustments for Purchasing Power Parity Calculations," IMF Working Papers 2009/271, International Monetary Fund.
    6. Naoki Watanabe & Ryo Nakajima & Takanori Ida, 2010. "Quality-Adjusted Prices of Japanese Mobile Phone Handsets and Carriers’ Strategies," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 36(4), pages 391-412, June.
    7. W. Erwin Diewert, 2009. "Durables and Owner-Occupied Housing in a Consumer Price Index," NBER Chapters, in: Price Index Concepts and Measurement, pages 445-500, National Bureau of Economic Research, Inc.
    8. Iqbal Syed & Daniel Melser, 2008. "Prices over the Product Life Cycle: An Empirical Analysis," Discussion Papers 2008-25, School of Economics, The University of New South Wales.
    9. Melser, Daniel & Syed, Iqbal, 2007. "Life Cycle Pricing and the Measurement of Inflation," MPRA Paper 16722, University Library of Munich, Germany, revised 07 Jul 2008.
    10. Victor Ginsburgh & Jianping Mei & Michael Moses, 2006. "On the computation of art indices in art," ULB Institutional Repository 2013/7290, ULB -- Universite Libre de Bruxelles.
    11. Doms, Mark & Forman, Chris, 2005. "Prices for local area network equipment," Information Economics and Policy, Elsevier, vol. 17(3), pages 365-388, July.
    12. Xosé-Luís Varela-Irimia, 2014. "Age effects, unobserved characteristics and hedonic price indexes: The Spanish car market in the 1990s," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 5(4), pages 419-455, November.
    13. Kevin J. Fox & Daniel Melser, 2014. "Non-Linear Pricing and Price Indexes: Evidence and Implications from Scanner Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(2), pages 261-278, June.
    14. Ana M. Aizcorbe, 2003. "The stability of dummy variable price measures obtained from hedonic regressions," Finance and Economics Discussion Series 2003-05, Board of Governors of the Federal Reserve System (U.S.).
    15. Daniel Melser & Iqbal A. Syed, 2013. "Prices over the Product Life Cycle: Implications for Quality-Adjustment and the Measurement of Inflation," Discussion Papers 2013-26, School of Economics, The University of New South Wales.
    16. Daniel Melser & Iqbal A. Syed, 2017. "The product life cycle and sample representativity bias in price indexes," Applied Economics, Taylor & Francis Journals, vol. 49(6), pages 573-586, February.
    17. Daniel Melser & Iqbal A. Syed, 2016. "Life Cycle Price Trends and Product Replacement: Implications for the Measurement of Inflation," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(3), pages 509-533, September.
    18. 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.
    19. repec:grz:wpaper:2016-13 is not listed on IDEAS
    20. Bart Hobijn, 2002. "On both sides of the quality bias in price indexes," Staff Reports 157, Federal Reserve Bank of New York.
    21. Paul Chwelos, 2003. "Approaches to performance measurement in hedonic analysis: Price indexes for laptop computers in the 1990's," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 12(3), pages 199-224.

    More about this item

    Keywords

    WP;

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:imf:imfwpa:2007/234. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Akshay Modi (email available below). General contact details of provider: https://edirc.repec.org/data/imfffus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.