Measuring Labor Market Discrimination: An Audit Study

Last registered on June 06, 2022

Pre-Trial

Trial Information

General Information

Title
Measuring Labor Market Discrimination: An Audit Study
RCT ID
AEARCTR-0009534
Initial registration date
June 01, 2022

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
June 06, 2022, 5:49 AM EDT

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
St. Catherine University

Other Primary Investigator(s)

Additional Trial Information

Status
In development
Start date
2022-06-15
End date
2022-09-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Due to the pending nature of the study, we are not able to share details at this time.
External Link(s)

Registration Citation

Citation
Krafft, Caroline. 2022. "Measuring Labor Market Discrimination: An Audit Study." AEA RCT Registry. June 06. https://doi.org/10.1257/rct.9534
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2022-06-15
Intervention End Date
2022-09-30

Primary Outcomes

Primary Outcomes (end points)
Whether applicants receive a callback.
Primary Outcomes (explanation)
Whether and what phone or email follow-up occurred from the employer will be the key outcome. Callbacks and their details will be collected for each fictitious applicant (at their phone or email address). The key outcome will be a callback that signals the possibility of hiring (asking for an interview, interview on the spot, asking for additional information, offering the position). When a position was specifically designated as for one gender or marital status only, the other excluded identities will be considered not to have callbacks (although we will be able to distinguish between applied, no call back and excluded, no call back in the data).

Secondary Outcomes

Secondary Outcomes (end points)
Type of callback, monthly wage.
Secondary Outcomes (explanation)
We will look primarily at the outcome of receiving a callback, but also analyze the distribution of employers’ responses in callbacks by gender and marital status.

A secondary outcome will be the expected monthly wage (calculated as the average of the minimum and maximum if a range is given). We will model this outcome as log wages, since coefficients can then be interpreted in approximately percentage terms. This outcome will only be available for a sub-sample of job postings with wage data posted and will be calculated only for positions that receive a callback.

Experimental Design

Experimental Design
This is a resume audit study, randomizing applicant characteristics.
Experimental Design Details
Not available
Randomization Method
Randomization in office, done by a computer (in Stata).
Randomization Unit
Job posting.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
1,500-2,500 postings
Sample size: planned number of observations
6,000-10,000 resumes
Sample size (or number of clusters) by treatment arms
The resumes will be equally divided across treatment arms.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
American University in Cairo
IRB Approval Date
2022-03-31
IRB Approval Number
N/A
Analysis Plan

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