Social Media Exposure and Job Outcomes

Last registered on November 04, 2022

Pre-Trial

Trial Information

General Information

Title
Social Media Exposure and Job Outcomes
RCT ID
AEARCTR-0010341
Initial registration date
November 02, 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
November 04, 2022, 1:39 PM 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
University of Michigan

Other Primary Investigator(s)

PI Affiliation
University of Michigan
PI Affiliation
University of Michigan
PI Affiliation
Stanford University

Additional Trial Information

Status
In development
Start date
2022-11-02
End date
2023-09-01
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Does social media exposure affect job market outcomes? We will collect job market candidates’ demographic information and a summary of their job market paper. We will then tweet every participant’s JMP. We plan to conduct a field experiment to evaluate whether and the extent to which social media exposure might impact job market outcomes. Outcome data will be collected at the end of the job market.
External Link(s)

Registration Citation

Citation
Chen, Yan et al. 2022. "Social Media Exposure and Job Outcomes." AEA RCT Registry. November 04. https://doi.org/10.1257/rct.10341-1.0
Experimental Details

Interventions

Intervention(s)
We will randomize the extent of social media exposure.
Intervention Start Date
2022-11-15
Intervention End Date
2022-12-10

Primary Outcomes

Primary Outcomes (end points)
job market outcomes
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Not available.
Experimental Design Details
Not available
Randomization Method
Done by a computer.
Randomization Unit
individual.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
800 subjects
Sample size: planned number of observations
800 subjects
Sample size (or number of clusters) by treatment arms
400 in the treatment group and 400 in the control group
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
0.2
IRB

Institutional Review Boards (IRBs)

IRB Name
Digital Mentoring
IRB Approval Date
2022-10-03
IRB Approval Number
HUM00221663
Analysis Plan

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