Selecting the Most Effective Nudge: Evidence from a Large-Scale Experiment on Immunization
Esther Duflo,
Abhijit Banerjee,
John Floretta,
Anna Schrimpf,
Anirudh Sankar,
Francine Loza,
Harini Kannan,
Matthew Jackson,
Arun G. Chandrasekhar,
Maheshwor Shrestha and
Suresh Dalpath
No 16084, CEPR Discussion Papers from C.E.P.R. Discussion Papers
Abstract:
We evaluate a large-scale set of interventions to increase demand for immunization in Haryana, India. The policies under consideration include the two most frequently discussed tools—reminders and incentives—as well as an intervention inspired by the networks literature. We cross-randomize whether (a) individuals receive SMS reminders about upcoming vaccination drives; (b) individuals receive incentives for vaccinating their children; (c) influential individuals (information hubs, trusted individuals, or both) are asked to act as “ambassadors†receiving regular reminders to spread the word about immunization in their community. By taking into account different versions (or “dosages†) of each intervention, we obtain 75 unique policy combinations. We develop a new statistical technique—a smart pooling and pruning procedure—for finding a best policy from a large set, which also determines which policies are effective and the effect of the best policy. We proceed in two steps. First, we use a LASSO technique to collapse the data: we pool dosages of the same treatment if the data cannot reject that they had the same impact, and prune policies deemed ineffective. Second, using the remaining (pooled) policies, we estimate the effect of the best policy, accounting for the winner’s curse. The key outcomes are (i) the number of measles immunizations and (ii) the number of immunizations per dollar spent. The policy that has the largest impact (information hubs, SMS reminders, incentives that increase with each immunization) increases the number of immunizations by 44 % relative to the status quo. The most cost-effective policy (information hubs, SMS reminders, no incentives) increases the number of immunizations per dollar by 9.1%.
Keywords: Development economics; Immunization; India; Reminders; Incentives; Smart pooling (search for similar items in EconPapers)
JEL-codes: C18 C93 D83 I15 O12 O15 (search for similar items in EconPapers)
Date: 2021-04
References: Add references at CitEc
Citations:
Downloads: (external link)
https://cepr.org/publications/DP16084 (application/pdf)
CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at subscribers@cepr.org
Related works:
Working Paper: Selecting the Most Effective Nudge: Evidence from a Large-Scale Experiment on Immunization (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:cpr:ceprdp:16084
Ordering information: This working paper can be ordered from
https://cepr.org/publications/DP16084
Access Statistics for this paper
More papers in CEPR Discussion Papers from C.E.P.R. Discussion Papers Centre for Economic Policy Research, 33 Great Sutton Street, London EC1V 0DX.
Bibliographic data for series maintained by ().