Remote Work, Gender, and Hiring

Last registered on June 24, 2024
View Trial History

Pre-Trial

Trial Information

General Information

Title
Remote Work, Gender, and Hiring
RCT ID
AEARCTR-0013793
Initial registration date
June 10, 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
June 24, 2024, 12:46 PM EDT

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

Locations

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information

Primary Investigator

Name
David Pedulla
Affiliation
Harvard University
Contact Primary Investigator

Other Primary Investigator(s)

PI Name
Aruna Ranganathan
PI Affiliation
University of California, Berkeley
Contact Investigator

Additional Trial Information

Status
In development
Start date
2024-06-17
End date
2027-06-17
Keywords
Gender, Labor
Additional Keywords
JEL code(s)
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
There has been a significant rise in remote work in the United States. Yet, important questions remain about the consequences of remote work for workers’ labor market outcomes. With this study, we aim to address two primary questions. First, what is the effect of indicating a preference for remote work in a job application on an applicant’s likelihood of being called back for the job? Second, does the effect of remote work on callbacks differ by the gender of the applicant?
External Link(s)

Registration Citation

Citation
Pedulla, David and Aruna Ranganathan. 2024. "Remote Work, Gender, and Hiring." AEA RCT Registry. June 24. https://doi.org/10.1257/rct.13793-1.0
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2024-06-17
Intervention End Date
2026-06-17

Primary Outcomes

Primary Outcomes (end points)
Whether or not an applicant received a callback for a job (1=received a callback; 0=did not receive a callback) within 60 days of applying for the job.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We will sample job openings and then randomly assign each opening to receive applications from either men or women applicants. Gender will be signaled by the name of the applicant. The names of the applicants will be randomly assigned.

Each job opening will then receive three job applications where the stated preference for a work location is randomly assigned to the applications. There will be three conditions: (1) a “control” condition with no stated preference about work location, (2) an “on-site work” condition where the applicant indicates a preference for an on-site work arrangement, and (3) a “remote work” condition where the applicant indicates a preference for a remote work arrangement. Each job posting will receive all three work location preferences (one on each application).
Experimental Design Details
Not available
Randomization Method
Random number generator
Randomization Unit
Gender of the applicant is randomized at the job posting level. Work preference is randomized at the application level.
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
1,000 job postings
Sample size: planned number of observations
3,000 job applications
Sample size (or number of clusters) by treatment arms
500 applications from women with no statement about work type preferences (the “control” condition)
500 applications from women with remote work preferences
500 applications from women with on-site work preferences
500 applications from men with no statement about work type preferences (the “control” condition)
500 applications from men with remote work preferences
500 applications from men with on-site work preferences
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
Harvard University-Area IRB
IRB Approval Date
2023-08-25
IRB Approval Number
IRB23-0884
Analysis Plan

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information