Impacts of Demand-Driven Workforce Development

Last registered on September 12, 2024
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Pre-Trial

Trial Information

General Information

Title
Impacts of Demand-Driven Workforce Development
RCT ID
AEARCTR-0014297
Initial registration date
September 02, 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
September 12, 2024, 5:35 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

Name
Evan Rose
Affiliation
University of Chicago
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Other Primary Investigator(s)

PI Name
Hsi-Ling Liao
PI Affiliation
University of Chicago
Contact Investigator

Additional Trial Information

Status
In development
Start date
2024-02-01
End date
2026-12-31
Keywords
Labor
Additional Keywords
JEL code(s)
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We study the long-run impacts of “demand-driven” workforce development by piloting an RCT with Skills for Chicagoland’s Future, a Chicago-based organization that works with area employers and matches them with local job seekers from high-poverty local communities.
External Link(s)

Registration Citation

Citation
Liao, Hsi-Ling and Evan Rose. 2024. "Impacts of Demand-Driven Workforce Development." AEA RCT Registry. September 12. https://doi.org/10.1257/rct.14297-1.0
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
Our partner organization, Skills for Chicagoland’s Future, directly works with over 40 major employers in Chicago to understand their hiring and skills needs. Skills then recruits un- and underemployed workers from high-poverty communities to fill available positions, serving as a connection, coach, and advocate throughout the hiring process.
Intervention Start Date
2024-02-01
Intervention End Date
2026-12-31

Primary Outcomes

Primary Outcomes (end points)
Quarterly labor market employment, earnings, earnings growth, job tenure, and industry of employment.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We use an encouragement design that randomly flags applicants for oversubscribed opportunities at Skills with a prioritization flag. Flagged applicants are encouraged to be considered for programming first, but the recommendation is non-binding. We anticipate two-sided non-compliance.
Experimental Design Details
Not available
Randomization Method
Randomization will be conducted using Skills's Applicant Tracking System, Target Recruit. This Salesforce-based system offers excel-like functionality to randomly allocate the encouragement flag.
Randomization Unit
Job applicant.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
Running the evaluation over the course of one year will generate approximately 12,000 applicants.
Sample size: planned number of observations
The applicant is the unit of observation.
Sample size (or number of clusters) by treatment arms
20% of applicants will receive the encouragement flag.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
SBS-IRB University of Chicago
IRB Approval Date
2024-06-27
IRB Approval Number
IRB24-0485
Analysis Plan