Why Meritocrat? The Role of Pure Fairness Preferences?

Last registered on November 05, 2021
View Trial History

Pre-Trial

Trial Information

General Information

Title
Why Meritocrat? The Role of Pure Fairness Preferences?
RCT ID
AEARCTR-0008495
Initial registration date
November 04, 2021

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
November 05, 2021, 8:25 PM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

Country
Sweden
Region
Country
United States of America
Region

Primary Investigator

Name
Johanna Mollerstrom
Affiliation
George Mason University
Contact Primary Investigator

Other Primary Investigator(s)

Additional Trial Information

Status
In development
Start date
2021-11-08
End date
2021-11-15
Keywords
Behavior, Other
Additional Keywords
JEL code(s)
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This study investigates the role of pure fairness preferences in meritocratic behavior.
External Link(s)

Registration Citation

Citation
Mollerstrom, Johanna. 2021. "Why Meritocrat? The Role of Pure Fairness Preferences?." AEA RCT Registry. November 05. https://doi.org/10.1257/rct.8495-1.0
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2021-11-08
Intervention End Date
2021-11-15

Primary Outcomes

Primary Outcomes (end points)
Division of earnings between matched pair of participants
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Workers do a task and afterwards spectators decide how to divide the earnings in a pair of workers. The spectators can choose between four different payment schemes, and the treatments vary the information available to workers before they do the task.
Experimental Design Details
Randomization Method
Randomization by computer
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
1500 spectators
Sample size: planned number of observations
1500 spectators
Sample size (or number of clusters) by treatment arms
500 per treatment
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
IRB at George Mason University
IRB Approval Date
2021-10-08
IRB Approval Number
1820066-1
Analysis Plan

Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials