IDEAS home Printed from https://ideas.repec.org/h/spr/isbchp/978-981-97-8054-9_19.html
   My bibliography  Save this book chapter

National Accounts and Productivity Measurement: Challenges in Time Series Analysis

In: 75 Years of Growth, Development and Productivity in India

Author

Listed:
  • T. C. A. Anant

    (ISID)

Abstract

The India Productivity Report (2022) (Krishna, K. L., et al. [2022]. India productivity report. RBI. https://rbi.org.in/Scripts/PublicationReportDetails.aspx?UrlPage=&ID=1217 .) has a comprehensive introduction and review of productivity measurement and research both in India and globally. This study—which reflects the work of the India KLEMS project—also forms the basis of the KLEMS data now housed at RBI (KLEMS Database, RBI. https://rbi.org.in/Scripts/KLEMS.aspx .). This database is increasingly being used by many researchers working on the Indian economy. It draws upon National Accounts, Household and Establishment Surveys of the NSS and the Population Census to construct a time series of Capital (K), Labour (L), Energy (E), Material (M) and Services(S). This allows users to do time-series analyses on India Economy since 1981. However, since the source datasets have seen changes over the years due to improvements in measurement techniques, it creates challenges for time-series analysts. In this paper, we will examine the developments in National Accounts after 1981, focusing on issues of estimation of value-added in the Informal Sector, Trade and Construction and examine their implications for productivity studies (Some puzzles in productivity growth have been highlighted by Prof Goldar in his presentation at the Indian Econometric Conference, 2024, Keynote paper.).

Suggested Citation

  • T. C. A. Anant, 2025. "National Accounts and Productivity Measurement: Challenges in Time Series Analysis," India Studies in Business and Economics, in: Dibyendu Maiti & Bishwanath Goldar & K.L. Krishna (ed.), 75 Years of Growth, Development and Productivity in India, chapter 0, pages 645-654, Springer.
    • Handle: RePEc:spr:isbchp:978-981-97-8054-9_19
    DOI: 10.1007/978-981-97-8054-9_19
    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
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:isbchp:978-981-97-8054-9_19. 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.