Measuring Labor Market Discrimination: A Correspondence Audit Study in Egypt

Last registered on November 10, 2023

Pre-Trial

Trial Information

General Information

Title
Measuring Labor Market Discrimination: A Correspondence Audit Study in Egypt
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.

Last updated
November 10, 2023, 7:37 PM EST

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

Locations

Region

Primary Investigator

Affiliation
St. Catherine University

Other Primary Investigator(s)

Additional Trial Information

Status
Completed
Start date
2022-06-15
End date
2023-02-01
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Do employers discriminate against married women? This research submitted fictitious resumes to online job postings in Egypt, randomizing gender and marital status.
External Link(s)

Registration Citation

Citation
Krafft, Caroline. 2023. "Measuring Labor Market Discrimination: A Correspondence Audit Study in Egypt." AEA RCT Registry. November 10. https://doi.org/10.1257/rct.9534-2.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2022-06-15
Intervention End Date
2023-02-01

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 correspondence study, randomizing applicant characteristics.
Experimental Design Details
This study will randomize the following characteristics of applicants:
· Gender (male/female)
· Marital status (unmarried/married)
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

Analysis Plan Documents

Pre-analysis plan labour market discrimination audit study 2022.05.24 CGK.docx

MD5: c8229d5efb3527a57d8839c51d187cbd

SHA1: 59a84ae14ff3cc3e882f60a763136c8b610838ab

Uploaded At: June 01, 2022

Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
Yes
Intervention Completion Date
February 01, 2023, 12:00 +00:00
Data Collection Complete
Yes
Data Collection Completion Date
February 01, 2023, 12:00 +00:00
Final Sample Size: Number of Clusters (Unit of Randomization)
710 job postings
Was attrition correlated with treatment status?
No
Final Sample Size: Total Number of Observations
2,676 resumes submitted
Final Sample Size (or Number of Clusters) by Treatment Arms
710 each of: single men, single women, married men, married women
Data Publication

Data Publication

Is public data available?
Yes

Program Files

Program Files
Yes
Reports, Papers & Other Materials

Relevant Paper(s)

Abstract
Do employers discriminate against married women? This research submitted fictitious resumes to online job postings in Egypt, randomizing gender and marital status. More job postings explicitly required men (14 per cent) than women (4 per cent). Despite the gender discrimination in postings, women were only slightly less likely to receive callbacks than men, with only a small difference between single and married women. Differences in callbacks by sex and marital status were not statistically significant. Women and especially married women were, however, particularly likely to be asked for more information rather than scheduled for an interview. The findings suggest that the low employment rate of women and especially married women in Egypt, at least in the segment of the labour market we are able to examine, is not primarily due to employer discrimination at the callback stage.
Citation
Caroline Krafft, Do employers discriminate against married women? Evidence from a field experiment in Egypt, Cairo: International Labour Organization, 2023

Reports & Other Materials