Board gender quotas and hiring decisions

Last registered on February 05, 2025
View Trial History

Pre-Trial

Trial Information

General Information

Title
Board gender quotas and hiring decisions
RCT ID
AEARCTR-0015331
Initial registration date
February 04, 2025

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
February 05, 2025, 9:49 AM EST

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

Locations

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Primary Investigator

Name
Bo Bian
Affiliation
University of British Columbia
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Other Primary Investigator(s)

PI Name
Jingjing Li
PI Affiliation
University of Virginia
Contact Investigator
PI Name
Kai Li
PI Affiliation
University of British Columbia
Contact Investigator

Additional Trial Information

Status
On going
Start date
2024-09-01
End date
2025-06-30
Keywords
Firms & Productivity, Gender, Governance, Labor
Additional Keywords
JEL code(s)
G30, G34, J16, J21, J23
Secondary IDs
Prior work
This trial is based on or builds upon one or more prior RCTs.
Abstract
This project aims to gain a better understanding of the impact of board gender quotas on hiring decisions within affected organizations.
External Link(s)

Registration Citation

Citation
Bian, Bo, Jingjing Li and Kai Li. 2025. "Board gender quotas and hiring decisions." AEA RCT Registry. February 05. https://doi.org/10.1257/rct.15331-1.0
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2024-09-25
Intervention End Date
2025-06-30

Primary Outcomes

Primary Outcomes (end points)
Hiring decisions
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
This project aims to gain a better understanding of the impact of board gender quotas on hiring decisions within affected organizations.
Experimental Design Details
Not available
Randomization Method
The randomization is done by a computer.
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
200 Individuals
Sample size: planned number of observations
200 Individuals
Sample size (or number of clusters) by treatment arms
100 control, 100 treated
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
University of Virginia Institutional Review Board for the Social and Behavioral Sciences
IRB Approval Date
2024-08-23
IRB Approval Number
UVA IRB-SBS #6912
Analysis Plan