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

Santanu Pramanik, Neerad Deshmukh, Sonalde Desai (), Bijay Chouhan, Manjistha Banerji, Reem Ashraf and Dinesh Tiwari
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Santanu Pramanik: National Council of Applied Economic Research
Neerad Deshmukh: National Council of Applied Economic Research
Bijay Chouhan: National Council of Applied Economic Research
Reem Ashraf: National Council of Applied Economic Research

No 136, NCAER Working Papers from 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.

Keywords: Delhi NCR Coronavirus Telephone Survey; Nonobservation Error; Panel Survey; Remote Mode of Data Collection; Repeated Cross-sectional Survey; Representativeness of Surveys (search for similar items in EconPapers)
JEL-codes: C83 (search for similar items in EconPapers)
Pages: 16 pages
Date: 2022-03-03
New Economics Papers: this item is included in nep-hea
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