IDEAS home Printed from https://ideas.repec.org/h/spr/sptchp/978-981-97-6305-4_9.html
   My bibliography  Save this book chapter

Price Comparisons with Time-Varying Commodity Sets

In: Price Index Numbers

Author

Listed:
  • Naohito Abe

    (Hitotsubashi University)

Abstract

This chapter explores the difficulties and methodologies associated with constructing price indices when the set of goods changes over time. It acknowledges that no two products are “exactly” identical, even within the same category, and the emergence and disappearance of goods complicate price comparisons. Seasonal goods, technological innovations, and disruptions like the COVID-19 pandemic further challenge traditional price measurement methods. The chapter discusses the hedonic method, which adjusts for quality differences by considering various attributes of goods, and highlights its limitations, including the difficulty of measuring new attributes and dealing with multicollinearity. The matching method, which compares only concurrently available goods, is straightforward but prone to bias due to non-random product exits and introductions. The chapter also introduces the concept of variety effects, where changes in the variety of goods impact consumer welfare and the cost-of-living index (COLI). Feenstra’s COLI, which incorporates variety effects, is widely used but can exhibit significant chain drift over time, complicating long-term price comparisons. The chapter concludes by highlighting the ongoing research and practical issues in addressing these challenges, emphasizing the need for innovative approaches and new methodologies.

Suggested Citation

  • Naohito Abe, 2025. "Price Comparisons with Time-Varying Commodity Sets," Springer Texts in Business and Economics, in: Price Index Numbers, chapter 0, pages 195-217, Springer.
  • Handle: RePEc:spr:sptchp:978-981-97-6305-4_9
    DOI: 10.1007/978-981-97-6305-4_9
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    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:spr:sptchp:978-981-97-6305-4_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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.