This online survey constitutes a first step in a larger research project with the aim of understanding paternalism, i.e., how do individuals handle the trade-off between autonomy/freedom of choice and individual well-being/social welfare. With this first survey, we seek to understand what motivates the decision to restrict choice sets and how different forms of interventions compare to each other. Specifically, we investigate whether paternalists differentiate between reasons within the paternalee vs. external factors and how much the intensity of the restriction (i.e., removing options vs. setting defaults) matters. Furthermore, we try to shed light on how much paternalists value the effectiveness of their intervention.
External Link(s)
Citation
Bartling, Bjoern et al. 2018. "Understanding Paternalism – First Survey Evidence." AEA RCT Registry. September 08. https://doi.org/10.1257/rct.3295-1.0.
Key outcome is the fraction of individuals in each treatment that chooses to intervene (i.e., answers "Yes" to the question of whether they want to manipulate the choice environment for the workers).
Primary Outcomes (explanation)
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Hypothetical online survey experiment with a representative sample from the U.S. population (18 years and above)
Experimental Design Details
Randomization Method
Random assignment using Qualtrics
Randomization Unit
individual
Was the treatment clustered?
No
Sample size: planned number of clusters
--
Sample size: planned number of observations
2400 individuals
Sample size (or number of clusters) by treatment arms
300 individuals per treatment arm
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)