Texts Don’t Nudge: An Adaptive Trial to Prevent the Spread of COVID-19 in India
Girija Bahety (),
Sebastian Bauhoff,
Dev Patel and
James Potter ()
Additional contact information
Girija Bahety: Tufts University, Department of Economics and the Fletcher School of Law and Diplomacy
James Potter: Harvard School of Public Health
No 585, Working Papers from Center for Global Development
Abstract:
We conduct an adaptive randomized controlled trial to evaluate the impact of a SMS-based information campaign on the adoption of social distancing and handwashing in rural Bihar, India, six months into the COVID-19 pandemic. We test 10 arms that vary in delivery timing and message framing, changing content to highlight gains or losses for either one’s own family or community. We identify the optimal treatment separately for each targeted behavior by adaptively allocating shares across arms over 10 experimental rounds using exploration sampling (Kasy and Sautmann, 2021). Based on phone surveys with nearly 4,000 households and using several elicitation methods, we do not find evidence of impact on knowledge or adoption of preventive health behavior, and our confidence intervals cannot rule out positive effects as large as 5.5 percentage points, or 16 percent. Our results suggest that SMS-based information campaigns may have limited efficacy after the initial phase of a pandemic.
Keywords: Information and communication; health behaviors; adaptive trial; COVID-19; SMS; India (search for similar items in EconPapers)
JEL-codes: D8 D83 D91 I1 I12 I15 O1 (search for similar items in EconPapers)
Pages: 36 pages
Date: 2021-06-08
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.cgdev.org/publication/texts-dont-nudge ... l&utm_campaign=repec
Related works:
Journal Article: Texts don’t nudge: An adaptive trial to prevent the spread of COVID-19 in India (2021) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cgd:wpaper:585
Access Statistics for this paper
More papers in Working Papers from Center for Global Development Contact information at EDIRC.
Bibliographic data for series maintained by Publications Manager ().