2018
DOI: 10.2139/ssrn.3163930
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When Less is More: Experimental Evidence on Information Delivery During India's Demonetization

Abstract: How should policymakers disseminate information: by broadcasting it widely (e.g., via mass media), or letting word spread from a small number of initially informed "seed" individuals? While conventional wisdom suggests delivering information more widely is better, we show theoretically and experimentally that this may not hold when people need to ask questions to fully comprehend the information they were given. In a field experiment during the chaotic 2016 Indian demonetization, we varied how information abou… Show more

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Cited by 12 publications
(15 citation statements)
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“…This interpretation explains both the large drop in conversations for the non-Jio sample, who also report far fewer inperson interactions, and the small drop in conversations in the Jio sample, for whom there is no drop in in-person interactions. The finding that mass messaging doesn't necessarily spark conversations on a complicated topic is also consistent with other recent empirical work in India (Banerjee et al, 2019). Overall it does not appear likely that it is through conversations about COVID-19 that the intervention led to diffusion: it seems more likely to have come from direct observations and imitation of behavior.…”
Section: Reporting Symptoms To Healthsupporting
confidence: 86%
“…This interpretation explains both the large drop in conversations for the non-Jio sample, who also report far fewer inperson interactions, and the small drop in conversations in the Jio sample, for whom there is no drop in in-person interactions. The finding that mass messaging doesn't necessarily spark conversations on a complicated topic is also consistent with other recent empirical work in India (Banerjee et al, 2019). Overall it does not appear likely that it is through conversations about COVID-19 that the intervention led to diffusion: it seems more likely to have come from direct observations and imitation of behavior.…”
Section: Reporting Symptoms To Healthsupporting
confidence: 86%
“…Before proceding to our empirical analysis, we begin by discussing a simple framework to think through how individuals make the decision to pass on information. The framework is standard, developed in Chandrasekhar, Golub, and Yang (2018) and also previously applied in Banerjee, Breza, Chandrasekhar, and Golub (2018b). In our framework, individuals pass on information for two reasons.…”
Section: Resultsmentioning
confidence: 99%
“…6 For example, promising results in Banerjee et al (2018) imply that households know who is central in their village, and this type of information may be easily elicited from a random sample of people. Kim et al (2015) use a related elicitation mechanism based on friends-of-friends, and conduct an experiment to distribute public health coupons in a sample of 32 villages.…”
Section: Section 8 Concludesmentioning
confidence: 99%