IDEAS home Printed from https://ideas.repec.org/p/nca/ncaerw/136.html
   My bibliography  Save this paper

Coverage and Nonresponse Bias in Telephone Surveys during the COVID-19 Lockdown in India

Author

Listed:
  • Santanu Pramanik

    (National Council of Applied Economic Research)

  • Neerad Deshmukh

    (National Council of Applied Economic Research)

  • Sonalde Desai

    (National Council of Applied Economic Research)

  • Bijay Chouhan

    (National Council of Applied Economic Research)

  • Manjistha Banerji

    (National Council of Applied Economic Research)

  • Reem Ashraf

    (National Council of Applied Economic Research)

  • Dinesh Tiwari

    (National Council of Applied Economic Research)

Abstract

In the wake of the COVID-19 pandemic, telephone surveys have been used extensively for carrying out studies on health knowledge, morbidity, and mortality surveillance. In order to understand the extent of different sources of non-observation errors in telephone surveys, we compare the distributions of units covered in the sampling frame and survey respondents with those who were excluded from the sampling frame and survey nonrespondents, respectively. The distributions are compared with respect to key socioeconomic and demographic characteristics, which are often associated with most health outcomes for two different study designs, viz., panel surveys and repeated cross-sectional surveys.

Suggested Citation

  • Santanu Pramanik & Neerad Deshmukh & Sonalde Desai & Bijay Chouhan & Manjistha Banerji & Reem Ashraf & Dinesh Tiwari, 2022. "Coverage and Nonresponse Bias in Telephone Surveys during the COVID-19 Lockdown in India," NCAER Working Papers 136, National Council of Applied Economic Research.
    • Handle: RePEc:nca:ncaerw:136
    as

    Download full text from publisher

    File URL: https://www.ncaer.org/publication/coverage-and-nonresponse-bias-in-telephone-surveys-during-the-covid-19-lockdown-in-india
    File Function: First version, 2022
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Delhi NCR Coronavirus Telephone Survey; Nonobservation Error; Panel Survey; Remote Mode of Data Collection; Repeated Cross-sectional Survey; Representativeness of Surveys;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nca:ncaerw:136. 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: B Ramesh (email available below). General contact details of provider: https://edirc.repec.org/data/ncaerin.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.