EEO-1 Disclosure

Last registered on February 20, 2023
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Pre-Trial

Trial Information

General Information

Title
EEO-1 Disclosure
RCT ID
AEARCTR-0010692
Initial registration date
January 26, 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
January 30, 2023, 1:57 AM EST

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

Last updated
February 20, 2023, 12:11 AM EST

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

Locations

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Primary Investigator

Name
Jung Ho Choi
Affiliation
Stanford University
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Other Primary Investigator(s)

PI Name
Maximilian Muhn
PI Affiliation
University of Chicago Booth School of Business
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PI Name
Maureen McNichols
PI Affiliation
Stanford University
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Additional Trial Information

Status
In development
Start date
2023-01-01
End date
2023-12-31
Keywords
Firms & Productivity, Gender, Labor, Welfare
Additional Keywords
Diversity, Equity, and Inclusion
JEL code(s)
J82
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
EEO-1 reports are mandatory reports that provide a breakdown of the workforce of the firm by race and gender. These reports are filed privately with the U.S. Equal Employment Opportunity Commission (EEOC) and kept confidential. Only aggregate statistics have been disclosed by EEOC to inform the public of the status of equal employment across industries, regions, occupations, and positions. In recent years, however, more and more firms chose to voluntarily disclose their firm-level reports to the public. In order to understand the motivation for the public disclosure, we want to examine why some firms disclosure EEO1s and others don’t with a randomized control trial with an email intervention.
External Link(s)

Registration Citation

Citation
Choi, Jung Ho, Maureen McNichols and Maximilian Muhn. 2023. "EEO-1 Disclosure." AEA RCT Registry. February 20. https://doi.org/10.1257/rct.10692-1.1
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
We are going to contact companies' departments handling these EEO-1 reports with an email intervention.
Intervention Start Date
2023-02-27
Intervention End Date
2023-05-01

Primary Outcomes

Primary Outcomes (end points)
We are interested in whether firms disclose EEO-1 reports responding to our email communication.
Primary Outcomes (explanation)
The main communication method is email. We plan to categorize these responses into either disclosure or non-disclosure. No response and an email with an explanation of not disclosing EEO-1 reports will be both coded as non-disclosure initially. However, we've noticed that in a pilot test, some firms indicate their interest in disclosing EEO-1 reports in the future.

Secondary Outcomes

Secondary Outcomes (end points)
We are also interesting in how stakeholders respond to this EEO-1 report database.
Secondary Outcomes (explanation)
In a subsequent research project (not part of this submission), we then want to use these disclosed EEO1 reports to build a publicly available and searchable EEO1 database. This database will allow to quickly and conveniently compare firms in a standardized way across key diversity metrics (or the lack of their public disclosure). Potentially, we then want to reach out key stakeholders (e.g., investors) to inform them about the availability of such a database. However, this can be a separate project and also depends on whether we are successful in collecting a sufficient number of disclosures.

Experimental Design

Experimental Design
We plan to reach out publicly listed firms to understand their motivation to disclose EEO-1 reports.
Experimental Design Details
Not available
Randomization Method
Randomization done in office by a computer
Randomization Unit
Firm
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
4200 companies
Sample size: planned number of observations
4200 companies
Sample size (or number of clusters) by treatment arms
1050 companies investors with peers, 1050 companies investors without peers, 1050 companies employees with peers, 1050 companies employees without peers
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
Stanford University
IRB Approval Date
2022-06-30
IRB Approval Number
IRB-Stanford-66540
Analysis Plan