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Self-serving norm acquisition
Last registered on December 14, 2020
View Trial History
Self-serving norm acquisition
Initial registration date
December 13, 2020
December 14, 2020 10:30 AM EST
University of Cologne
Contact Primary Investigator
Other Primary Investigator(s)
Additional Trial Information
Recently spectator designs have become a popular tool in a variety of different fields of experimental economics. Examples include repugnance, ethics, cooperation, privacy and paternalism. In such experiments third parties serve as observers, judges, punishers or choice architects. In this project we are investigating how roles affect behavior. Do first- and third-parties react differently to norm information? Do first- and third-parties differ in the type of norm (i.e. injunctive or descriptive) they choose to acquire and follow?
Breuer, Kevin and Christoph Feldhaus. 2020. "Self-serving norm acquisition." AEA RCT Registry. December 14.
Sponsors & Partners
Intervention Start Date
Intervention End Date
Primary Outcomes (end points)
Primary Outcomes (explanation)
Interaction of norm choice with demographics and risk, time and social preferences.
Secondary Outcomes (end points)
taking decision, choice restriction
Secondary Outcomes (explanation)
Interaction of taking decision and choice restrictionwith demographics and risk, time and social preferences.
Dictator Game in take-frame and beforehand provision of norm information. Decision-Maker (DM) distributes money between himself and unknown charity. Choice-Architect (CA) might costly restrict choice set of DM.
2 x 2 Treatment Design (dimensions: (DM,CA),(High,Low))
"DM" treatments: DM taking decision is implemented with "low" (1%) or "high" (99%) probability. No choice set restriction by CA (only observes decision of DM).
"CA" treatments: DM taking decision is implemented with certainty. CA choice set restriction is implemented with "low" (1%) or "high" (99%) probability.
Experimental Design Details
Lottery by a computer
Was the treatment clustered?
Sample size: planned number of clusters
Sample size: planned number of observations
Sample size (or number of clusters) by treatment arms
120 subjects for each role and treatment.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
INSTITUTIONAL REVIEW BOARDS (IRBs)
Research Ethics Review Faculty of Management, Economics, and Social Sciences University of Cologne
IRB Approval Date
IRB Approval Number
Post Trial Information
Is the intervention completed?
Is data collection complete?
Is public data available?
Reports, Papers & Other Materials
REPORTS & OTHER MATERIALS