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Bottlenecks for Evidence Adoption
Stefano DellaVigna1, Woojin Kim2, Elizabeth Linos3
1UC Berkeley and NBER.
Governments often test innovations using randomized controlled trials (RCTs). However, policy adoption of these tested nudges is mainly predicted by using existing communication channels, not evidence strength.
Area of Science:
- Public Policy
- Behavioral Economics
- Government Innovation
Background:
- Governments increasingly utilize randomized controlled trials (RCTs) to evaluate policy innovations.
- Understanding how policy-making incorporates evidence from these trials remains limited.
Purpose of the Study:
- To investigate the factors influencing the adoption of evidence-based interventions tested via RCTs in U.S. cities.
- To identify predictors of policy adoption following government-led RCTs.
Main Methods:
- Analysis of 73 RCTs conducted across 30 U.S. cities in collaboration with a national Nudge Unit.
- Statistical examination of adoption rates based on evidence strength, city characteristics, and implementation methods.
Main Results:
- Nudge treatments were adopted into city communications in 27% of the evaluated RCTs.
- Evidence strength and city features were weak predictors of adoption.
- RCTs implemented using pre-existing communication channels showed significantly higher adoption rates compared to those using new communication.
Conclusions:
- The adoption of tested policy innovations is primarily driven by implementation feasibility rather than the strength of scientific evidence.
- Organizational inertia, favoring integration with existing infrastructure, significantly influences policy adoption decisions.
- Future policy innovation should consider the role of existing communication systems for successful integration.
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