Drivers of the Gender Earnings Gap

Last registered on January 02, 2025

Pre-Trial

Trial Information

General Information

Title
Drivers of the Gender Earnings Gap
RCT ID
AEARCTR-0015057
Initial registration date
December 18, 2024

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
January 02, 2025, 7:06 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

Affiliation

Other Primary Investigator(s)

PI Affiliation
MIT

Additional Trial Information

Status
On going
Start date
2024-12-18
End date
2027-06-01
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
In this project, we explore drivers of the gender earnings gap.
External Link(s)

Registration Citation

Citation
Tadjfar, Nagisa and Nancy Wang. 2025. "Drivers of the Gender Earnings Gap." AEA RCT Registry. January 02. https://doi.org/10.1257/rct.15057-1.0
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2024-12-18
Intervention End Date
2027-06-01

Primary Outcomes

Primary Outcomes (end points)
Primary outcomes include beliefs about a candidate’s compensation and negotiation behavior.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary outcomes include beliefs about a candidate’s portfolio of outside offers and on-the-job behavior.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We will have 1 treatment and 1 control arm.
Experimental Design Details
Not available
Randomization Method
Randomization done in office by a computer
Randomization Unit
Resume
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
400 participants
Sample size: planned number of observations
4000
Sample size (or number of clusters) by treatment arms
We plan to randomize at the resume level. Each participant will be presented with 10 resumes (either male or female for each). Male and female resumes will be presented in equal proportions. We plan to recruit 400 participants.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
We have the following conservative MDEs for a main outcome. We assume 80% power and a significance level of 0.05. We also account for clusters of 10 (10 resumes per participant) and 250 participants, with treatment and control (female and male resumes) presented in equal proportion. We use standard deviation estimates from our pilot. -Log final total compensation: 7.9% (clustered with an ICC of 0.3), 4.1% (unclustered)
IRB

Institutional Review Boards (IRBs)

IRB Name
MIT
IRB Approval Date
2024-06-03
IRB Approval Number
E-5922