South Carolina Reemployment Services and Eligibility Assessments (RESEA) Randomized Controlled of Automated Job Referrals

Last registered on January 09, 2026

Pre-Trial

Trial Information

General Information

Title
South Carolina Reemployment Services and Eligibility Assessments (RESEA) Randomized Controlled of Automated Job Referrals
RCT ID
AEARCTR-0017038
Initial registration date
January 06, 2026

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 09, 2026, 8:49 AM EST

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
W.E. Upjohn Institute for Employment Research

Other Primary Investigator(s)

PI Affiliation
W.E. Upjohn Institute for Employment Research
PI Affiliation
W.E. Upjohn Institute for Employment Research
PI Affiliation
W.E. Upjohn Institute for Employment Research

Additional Trial Information

Status
In development
Start date
2026-01-26
End date
2028-09-01
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Job loss and long periods of joblessness, in particular, generate persistent earnings losses and negatively affect workers’ physical and mental health (Jacobson, LaLonde, and Sullivan 1993; Couch and Placzek 2010; Krueger and Mueller 2012; Damaske 2021; Fallick et al. 2025). As such, interventions intended to speed reemployment among displaced workers have the potential to substantially improve their long-term labor market outcomes and overall well-being. In this study, we will estimate causal impacts of providing frequent, timely, and customized automated job vacancy referrals to unemployment insurance (UI) beneficiaries on job search, UI receipt and duration, and labor market outcomes. We will randomly assign South Carolina Reemployment Services and Eligibility Assessments (RESEA) participants to receive staff-assisted registration for an automated job referral service called Virtual Recruiter® (VR). While all of South Carolina’s UI beneficiaries may register themselves for VR within the SCWorks Online System portal, participation in this service currently is quite low among RESEA participants. Thus, there is much scope for staff assistance in registering for VR to increase participation in the service, increase engagement with job vacancy postings, and potentially to speed reemployment and UI exit. We plan to enroll the RESEA population to the experimental treatment during a twelve-month period. We expect that the intervention will involve random assignment of about 17,000 UI beneficiaries referred to RESEA, providing power to detect effect sizes of magnitudes that we may reasonably expect.
External Link(s)

Registration Citation

Citation
Jenkins, Ethan et al. 2026. "South Carolina Reemployment Services and Eligibility Assessments (RESEA) Randomized Controlled of Automated Job Referrals." AEA RCT Registry. January 09. https://doi.org/10.1257/rct.17038-1.0
Experimental Details

Interventions

Intervention(s)
We will randomly assign RESEA participants to receive staff-assisted registration for an automated job referral service called Virtual Recruiter® (VR) provided by the vendor Geographic Solutions, Inc. While all of South Carolina’s UI beneficiaries may register themselves for VR within the SCWorks Online System (SCWOS) portal, participation in this service currently is quite low among RESEA participants: only 5.4 percent of the RESEA population with benefit year begin dates from January 2022 to June 2024 participated in VR (Pepin et al. 2025). Thus, there is much scope for staff assistance in registering for VR to increase participation in the service, increase engagement with job vacancy postings, and speed reemployment and UI exit.
Intervention Start Date
2026-01-26
Intervention End Date
2027-01-26

Primary Outcomes

Primary Outcomes (end points)
1) Full-time equivalent weeks of UI compensation
2) Total UI compensation received ($)
3) UI exhaustion rates
4) Employed, 2 quarters after benefit year begin (BYB) date
5) Earnings ($), 2 quarters after BYB date
6) Employed, 6 quarters after BYB date
7) Earnings ($), 6 quarters after BYB date
8) Cumulative earnings and UI compensation combined, 6 quarters after BYB date
9) Cumulative earnings, 6 quarters after BYB date
10) Probability that the first reemployment job is in the same 5-digit Standard Occupational Classification (SOC) code as the pre-claim job (conditional on employment by 6 quarters after BYB date)
11) Probability that the first reemployment job is in the same 4-digit SOC code as the pre-claim job (conditional on employment by 6 quarters after BYB date)
12) Probability that the first reemployment job is in the same 3-digit SOC code as the pre-claim job (conditional on employment by 6 quarters after BYB date)
13) Probability that the first reemployment job is in the same 2-digit SOC code as the pre-claim job (conditional on employment by 6 quarters after BYB date)
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
See analysis plan.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We will randomly assign a full 12 months of RESEA participants to receive staff-assisted registration for an automated job referral service called Virtual Recruiter® (VR) provided by the vendor Geographic Solutions, Inc. This randomization occurs when a claimant is profiled for the first time as part of the existing RESEA profiling process.

While all of South Carolina’s UI beneficiaries may register themselves for VR within the SCWorks Online System (SCWOS) portal, participation in this service currently is quite low among RESEA participants. During the initial RESEA appointment, RESEA analysts will register treatment group participants with VR (if they are not participating already). Treatment group participants will reserve the right to opt out of registration, and control group participants still will be able to register for VR on their own. Additionally, unless the RESEA participant opts out, the RESEA analyst will set treatment participants’ VRs to run daily, explaining that this will allow them to view and apply for jobs as soon as they are posted. The RESEA analyst will recommend and assist treatment participants in opting into email or text message notifications that will alert them to their job referrals in case they do not login to the SCWOS portal every day and, unless the participant objects, will not change the default expiration date of 90 days from the date the VR is saved.

At each subsequent RESEA appointment, RESEA analysts will follow up with treatment participants who registered for VR. Specifically, they will ask each treatment participant whether they have been receiving job referrals from VR and, if so, whether those referrals have been relevant to the jobs in which they are most interested. If the treatment participant tells the RESEA analyst that their VR has not been sending relevant job referrals, the analyst will use their expertise and collaborate with the participant to edit the VR settings to better fit the jobseeker’s preferences. The RESEA analyst also will edit the VR to expire two months after the appointment so that it does not expire before the participant’s next RESEA appointment.

Experimental Design Details
Not available
Randomization Method
When a claimant is profiled for the first time as part of the existing RESEA profiling process, a random number will be generated that will be used to assign them into either a treatment or control group with equal probability. The random number with at least seven significant digits will be drawn from the uniform distribution with minimum value 0 and maximum value 1. The claimant will be assigned to the control group if the random number is less than 0.5 and to the treatment group if the random number is greater than or equal to 0.5.
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
A full 12 months of South Carolina RESEA participants. We expect that the intervention will involve random assignment of about 17,000 UI beneficiaries referred to RESEA, as 17,200 UI beneficiaries with benefit year begin dates from May 2023 to April 2024 were referred to the program.
Sample size: planned number of observations
A full 12 months of South Carolina RESEA participants. We expect that the intervention will involve random assignment of about 17,000 UI beneficiaries referred to RESEA, as 17,200 UI beneficiaries with benefit year begin dates from May 2023 to April 2024 were referred to the program.
Sample size (or number of clusters) by treatment arms
We expect there to be approximately 8,500 UI beneficiaries assigned to the control group and 8,500 UI beneficiaries assigned to the treatment group.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
See analysis plan.
IRB

Institutional Review Boards (IRBs)

IRB Name
Western Michigan University IRB Board (this trial received an exemption determination)
IRB Approval Date
2025-09-02
IRB Approval Number
IRB-2025-233
Analysis Plan

Analysis Plan Documents

AEA_pre_analysis_plan_final.pdf

MD5: 1bb843e97556e23a9f2c1475d8979734

SHA1: 26e343d0d3cd906dd59ea08dd02c209082b991b2

Uploaded At: January 06, 2026