Willingness to compete in a dirty competition

Last registered on October 08, 2023

Pre-Trial

Trial Information

General Information

Title
Willingness to compete in a dirty competition
RCT ID
AEARCTR-0011266
Initial registration date
April 14, 2023

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
April 18, 2023, 5:13 PM EDT

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

Last updated
October 08, 2023, 6:08 AM EDT

Last updated is the most recent time when changes to the trial's registration were published.

Locations

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Primary Investigator

Affiliation
University of Amsterdam

Other Primary Investigator(s)

PI Affiliation
University of Amsterdam

Additional Trial Information

Status
In development
Start date
2023-04-17
End date
2024-09-10
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Competitions in the workplace are often “dirty”. Competitors may sabotage their opponents, lie about their contributions, or retaliate against winners. Yet, we know little about willingness to enter such competitions and how it varies across individuals. We conduct an online experiment to address several new questions regarding willingness to compete when the competition is not clean.
External Link(s)

Registration Citation

Citation
Buser, Thomas and Sahar Sangi. 2023. "Willingness to compete in a dirty competition." AEA RCT Registry. October 08. https://doi.org/10.1257/rct.11266-2.0
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2023-04-17
Intervention End Date
2023-12-17

Primary Outcomes

Primary Outcomes (end points)
Competition entry rate under each treatment.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The experiment is designed with three rounds, where participants will make decisions and/or perform tasks. We'll inform them about their payment for each round. To provide a detailed overview of our experimental design, we've uploaded a pre-analysis plan document.
Experimental Design Details
Not available
Randomization Method
Randomization within-subject by a computer.
Randomization Unit
Individuals
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
300 individuals
Sample size: planned number of observations
300 individuals
Sample size (or number of clusters) by treatment arms
300 individuals
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
The Economics and Business Ethics Committee (EBEC) at the University of Amsterdam
IRB Approval Date
2023-04-14
IRB Approval Number
EB-1813
Analysis Plan

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