IDEAS home Printed from https://ideas.repec.org/h/spr/isbchp/978-981-96-7320-9_7.html
   My bibliography  Save this book chapter

NSS Design-Based Estimates and Multiplier

Author

Listed:
  • G C Manna

    (Institute for Human Development
    National Council of Applied Economic Research)

Abstract

As discussed in Chapters 2 and 3 , the NSS adopts a stratified multi-stage design with villages /urban blocks (and ‘sub-units’ in some recent surveys) as the FSUs and households/enterprises as the USUs. In the large FSUs, HGs/SBs serve as an intermediate stage of sampling. Based on the sample, inference about the population parameters is drawn by deriving the estimates after adjusting the sample data with appropriate weights—popularly known as ‘multipliers’—as per the sample design adopted in the survey. The survey estimates are generally published in the form of either aggregates or ratios or in the form of percentage distribution of the target population according to some characteristics of interest.

Suggested Citation

  • G C Manna, 2025. "NSS Design-Based Estimates and Multiplier," India Studies in Business and Economics,, Springer.
    • Handle: RePEc:spr:isbchp:978-981-96-7320-9_7
    DOI: 10.1007/978-981-96-7320-9_7
    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:isbchp:978-981-96-7320-9_7. 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.