(Mis)Information and Anxiety: Evidence from a Randomized COVID-19 Information Campaign

Sadish, D; Adhvaryu, Achyuta; Nyshadham, Anant

doi:10.2139/ssrn.3773554

Cited by 2 publications

(3 citation statements)

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“…Engaging with technology, particularly m‐Health interventions and their associated behavioral channels and mechanisms, has been gaining recent attention in the broader technology diffusion literature (Geels et al, 2021 ; Gillingham & Bollinger, 2021 ). Our study also directly connects with past work in development economics that demonstrates how people learn and adopt technology (e.g., Sadish et al, 2021 ; Burkitbayeva et al, 2020 ; Conley & Udry, 2010 ; Bandiera & Rasul, 2006 , Munshi, 2004 , among others). More recent work also shows how mobile phones are welfare‐enhancing broadly and more so for connectivity in healthcare (e.g., Breza et al, 2021 ; Ghose et al, 2021; Siddique et al, 2021; Banerjee et al 2020 ; Ruton et al, 2018 ; McBride et al, 2018 ; Ybarra et al, 2014 ).…”

Section: Introductionsupporting

confidence: 76%

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Pandemics and technology engagement: New evidence from m‐Health intervention during COVID‐19 in India

Rathi

Chakrabarti

Chatterjee

et al. 2022

Review Development Economics

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Information provision for social welfare via cheap technological media is now a widely available tool used by policymakers. Often, however, an ample supply of information does not translate into high consumption of information due to various frictions in demand, possibly stemming from the pecuniary and non‐pecuniary cost of engagement, along with institutional factors. We test this hypothesis in the Indian context using a unique data set comprising 2 million call records of enrolled users of ARMMAN, a Mumbai‐based nongovernmental organization that sends timely informational calls to mobile phones of less‐privileged pregnant women. The strict lockdown induced by COVID‐19 in India was an unexpected shock on engagement with m‐Health technology, in terms of both reductions in market wages and increased time availability at home. Using a difference‐in‐differences design on unique calls tracked at the user‐time level with fine‐grained time‐stamps on calls, we find that during the lockdown period, the call durations increased by 1.53 percentage points. However, technology engagement behavior exhibited demographic heterogeneity increasing relatively after the lockdown for women who had to borrow the phones vis‐à‐vis phone owners, for those enrolled in direct outreach programs vis‐à‐vis self‐registered women, and for those who belonged to the low‐income group vis‐à‐vis high‐income group. These findings are robust with coarsened exact matching and with a placebo test for a 2017–2018 sample. Our results have policy implications around demand‐side frictions for technology engagement in developing economies and maternal health.

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Section: Introductionsupporting

confidence: 76%

“…The effect of this intervention is not known clearly. Sadish et al ( 2021 ), however, observed that till a quarter into the pandemic, misinformation was quite prevalent. In particular, they show that prerecorded messages lead to less engagement and less reduction in misinformation than direct phone calls.…”

Section: Introductionmentioning

confidence: 99%