Digital tools for direct and indirect citizen empowerment: The retaliatory response against COVID-19 in India

Banerjee, Subhanil; Gupta, Sushma; Koner, Souren

doi:10.1016/b978-0-12-821318-6.00012-8

Cited by 1 publication

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“…The robust standard errors have been opted irrespective of the homo/heteroskedastic nature of the error terms following ‘Similarly, the small sample behaviour of robust standard errors (Angrist & Jorn-Steffen, 2009; Imbens & Kolesar, 2015) may suggest measures of uncertainty that exploit more structure (e.g., classical standard errors) are preferable when n is small. In such cases, a qualitative disagreement between the robust and classical standard errors may suggest high variability in the robust standard error, but it would not speak to misspecification’ (Aronow, 2016, p. 10); Banerjee, Gupta and Koner (2022). However, before moving into the analysis, the article briefly describes the findings of Banerjee et al (2020a) with its results.…”

Section: Methodsmentioning

confidence: 99%

Improved Yet Unsafe: At the Light of NFHS-V

Banerjee

Dave

Siddiqui

2022

Journal of Health Management

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Following UNICEF’s analysis of National Family Health Survey-III Data (NFHS-III), it was opined that households with access to better sanitation and better access to improved water sources have much better infant survival rates than the others. Sahu et al. (2015, The Indian journal of medical research, 141(5), 709), Arun et al. (2017, International Conference on Cognitive Computing and Information Processing (pp. 81–92), Springer) and Tripathy and Mishra (2017, Journal of Tropical Pediatrics, 63(6), 431–439) supported these findings. However, Banerjee (2020a , Journal of Health Management, 22(1), 57–66), analysing NFHS-IV data, has vehemently criticised such findings and showed using regression with robust standard errors that improved access to better water sources leads to higher infant mortality. In another article published in the same year, Banerjee (2020b , Journal of Health Management, 22(3), 466–471) explained this paradox. Now with NFHS-V data coming out, time is apt to test the robustness of Banerjee’s findings (2002a). However, owing to the incomplete NFHS-V data published so far, unlike Banerjee (2002a) that has used data of 29 states, the present analysis is based on only 17 states. The findings support that the findings of Banerjee (2002a) were robust.

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Section: Methodsmentioning

confidence: 99%