IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v118y2013i1p6-9.html
   My bibliography  Save this article

Can dissimilarity indexes resolve the issue of when to chain price indexes?

Author

Listed:
  • Ivancic, Lorraine
  • Fox, Kevin J.

Abstract

Chaining is used in index number construction to update weights and link new items into an index. However, chained indexes can suffer from, sometimes substantial, drift. The Consumer Price Index Manual (ILO, 2004) recommends the use of dissimilarity indexes to determine when chaining is appropriate. This study provides the first empirical application of dissimilarity indexes in this context. We find that dissimilarity indexes do not appear to be sufficient to resolve the issue of when to chain.

Suggested Citation

  • Ivancic, Lorraine & Fox, Kevin J., 2013. "Can dissimilarity indexes resolve the issue of when to chain price indexes?," Economics Letters, Elsevier, vol. 118(1), pages 6-9.
  • Handle: RePEc:eee:ecolet:v:118:y:2013:i:1:p:6-9
    DOI: 10.1016/j.econlet.2012.09.015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176512005228
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econlet.2012.09.015?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ivancic, Lorraine & Erwin Diewert, W. & Fox, Kevin J., 2011. "Scanner data, time aggregation and the construction of price indexes," Journal of Econometrics, Elsevier, vol. 161(1), pages 24-35, March.
    2. Kevin Fox & Robert Hill & W. Diewert, 2004. "Identifying Outliers in Multi-Output Models," Journal of Productivity Analysis, Springer, vol. 22(1), pages 73-94, July.
    3. Reinsdorf, Marshall B, 1999. "Using Scanner Data to Construct CPI Basic Component Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(2), pages 152-160, April.
    4. Diewert, W. E., 1976. "Exact and superlative index numbers," Journal of Econometrics, Elsevier, vol. 4(2), pages 115-145, May.
    5. Robert J. Hill, 2006. "When Does Chaining Reduce The Paasche–Laspeyres Spread? An Application To Scanner Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 52(2), pages 309-325, June.
    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. Diewert, W. Erwin & Fox, Kevin J., 2017. "Substitution Bias in Multilateral Methods for CPI Construction using Scanner Data," Microeconomics.ca working papers erwin_diewert-2017-3, Vancouver School of Economics, revised 23 Mar 2017.
    2. Tsutomu Watanabe & Tomoyoshi Yabu, 2018. "The Demand for Money at the Zero Interest Rate Bound," CARF F-Series CARF-F-444, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    3. Kozo Ueda & Kota Watanabe & Tsutomu Watanabe, 2021. "Household Inventory, Temporary Sales, and Price Indices," CARF F-Series CARF-F-520, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    4. Ivancic, Lorraine & Erwin Diewert, W. & Fox, Kevin J., 2011. "Scanner data, time aggregation and the construction of price indexes," Journal of Econometrics, Elsevier, vol. 161(1), pages 24-35, March.
    5. Kozo Ueda & Kota Watanabe & Tsutomu Watanabe, 2020. "Consumer Inventory and the Cost of Living Index: Theory and Some Evidence from Japan," Working Papers on Central Bank Communication 025, University of Tokyo, Graduate School of Economics.
    6. Gregory Kurtzon, 2022. "How much does formula versus chaining matter for a cost‐of‐living index? The CPI‐U versus the C‐CPI‐U," Economic Inquiry, Western Economic Association International, vol. 60(2), pages 645-667, April.
    7. Iqbal A. Syed & Jan De Haan, 2017. "Age, Time, Vintage, And Price Indexes: Measuring The Depreciation Pattern Of Houses," Economic Inquiry, Western Economic Association International, vol. 55(1), pages 580-600, January.
    8. Kozo Ueda & Kota Watanabe & Tsutomu Watanabe, 2024. "Household Inventory, Temporary Sales, Price Indices," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 65(1), pages 217-251, February.
    9. W. Erwin Diewert & Robert C. Feenstra, 2021. "Estimating the Benefits of New Products," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 437-473, National Bureau of Economic Research, Inc.
    10. Diewert, Erwin & Shimizu, Chihiro, 2015. "Residential Property Price Indices For Tokyo," Macroeconomic Dynamics, Cambridge University Press, vol. 19(8), pages 1659-1714, December.
    11. Patrick Bajari & Zhihao Cen & Victor Chernozhukov & Manoj Manukonda & Jin Wang & Ramon Huerta & Junbo Li & Ling Leng & George Monokroussos & Suhas Vijaykunar & Shan Wan, 2023. "Hedonic prices and quality adjusted price indices powered by AI," CeMMAP working papers 08/23, Institute for Fiscal Studies.
    12. Kota Watanabe & Tsutomu Watanabe, 2014. "Estimating Daily Inflation Using Scanner Data: A Progress Report," UTokyo Price Project Working Paper Series 020, University of Tokyo, Graduate School of Economics.
    13. Martin Beraja & Erik Hurst & Juan Ospina, 2019. "The Aggregate Implications of Regional Business Cycles," Econometrica, Econometric Society, vol. 87(6), pages 1789-1833, November.
    14. Robert C. Feenstra & Matthew D. Shapiro, 2003. "High-Frequency Substitution and the Measurement of Price Indexes," NBER Chapters, in: Scanner Data and Price Indexes, pages 123-146, National Bureau of Economic Research, Inc.
    15. Kevin J. Fox & Peter Levell & Martin O'Connell, 2023. "Inflation measurement with high frequency data," IFS Working Papers W23/29, Institute for Fiscal Studies.
    16. de Haan, Jan & van der Grient, Heymerik A., 2011. "Eliminating chain drift in price indexes based on scanner data," Journal of Econometrics, Elsevier, vol. 161(1), pages 36-46, March.
    17. Abe, Naohito & 阿部, 修人 & Rao, D.S.Prasada, 2020. "Generalized Logarithmic Index Numbers with Demand Shocks: Bridging the Gap between Theory and Practice," RCESR Discussion Paper Series DP20-1, Research Center for Economic and Social Risks, Institute of Economic Research, Hitotsubashi University.
    18. Ludwig von Auer, 2024. "Inflation Measurement in the Presence of Stockpiling and Smoothing of Consumption," Research Papers in Economics 2024-02, University of Trier, Department of Economics.
    19. Donghyun Oh & Almas Heshmati & Hans Lööf, 2012. "Technical change and total factor productivity growth for Swedish manufacturing and service industries," Applied Economics, Taylor & Francis Journals, vol. 44(18), pages 2373-2391, June.
    20. W. Erwin Diewert, 2022. "Scanner Data, Elementary Price Indexes and the Chain Drift Problem," Springer Books, in: Duangkamon Chotikapanich & Alicia N. Rambaldi & Nicholas Rohde (ed.), Advances in Economic Measurement, chapter 0, pages 445-606, Springer.

    More about this item

    Keywords

    Index numbers; Price indexes; Chain drift; Dissimilarity;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

    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:eee:ecolet:v:118:y:2013:i:1:p:6-9. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.