Using Digital Connectivity to Expand Global Job Opportunities for African Workers

Last registered on November 17, 2025

Pre-Trial

Trial Information

General Information

Title
Using Digital Connectivity to Expand Global Job Opportunities for African Workers
RCT ID
AEARCTR-0016818
Initial registration date
November 13, 2025

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 17, 2025, 2:34 PM EST

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

Affiliation
University of Michigan

Other Primary Investigator(s)

PI Affiliation
University of Michigan
PI Affiliation
World Bank
PI Affiliation
UC Santa Cruz
PI Affiliation
Upwork
PI Affiliation
University of Michigan
PI Affiliation
Lilongwe University of Agriculture

Additional Trial Information

Status
On going
Start date
2025-08-01
End date
2027-07-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Sub-Saharan Africa faces high youth unemployment, with women disproportionately excluded from labor market opportunities due to mobility and social constraints. At the same time, global freelancing platforms offer opportunities to earn wages that far exceed those available in local markets. Yet, informational and reputational frictions—such as limited knowledge of effective bidding strategies, weak initial profiles, and lack of job search persistence—prevent many skilled workers from successfully entering these markets.

This study evaluates whether targeted training, mentoring, and data-driven guidance can reduce these frictions and improve labor market outcomes for young African professionals. We will conduct a randomized controlled trial with workers who meet baseline screening criteria. The treatment group will receive individualized mentoring from experienced African freelancers.

Outcomes will be measured using both platform administrative data and surveys, covering job search intensity, contract acquisition, and earnings. The study will also assess heterogeneous impacts by gender, informing both the economics of digital labor markets and the design of scalable interventions to expand global job access.
External Link(s)

Registration Citation

Citation
Khataza, Robertson et al. 2025. "Using Digital Connectivity to Expand Global Job Opportunities for African Workers." AEA RCT Registry. November 17. https://doi.org/10.1257/rct.16818-1.0
Sponsors & Partners

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

Request Information
Experimental Details

Interventions

Intervention(s)
We evaluate a program designed to help young African professionals succeed in global online labor markets. The intervention consists of two main components: (i) one-on-one mentoring by experienced African freelancers, and (ii) small financial incentives in the form of credits required to submit job applications. In addition, we provide data-driven guidance using internal analytics to inform job search and bidding strategies.
Intervention Start Date
2025-09-01
Intervention End Date
2026-09-30

Primary Outcomes

Primary Outcomes (end points)
Online labor (extensive margin): receives at least one online contract
Online labor activity: total number of online contracts received
Online labor earnings
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We recruit skilled young professionals from Sub-Saharan Africa, with a focus on gender balance, to participate in a randomized controlled trial evaluating support for online freelancing. Eligible applicants are screened on basic readiness to engage on an online platform. Participants are then randomized at the individual level, stratified by gender and mentors, into treatment and control groups. The treatment group receives mentoring from experienced African freelancers, data-driven guidance on job search and bidding strategies, and small financial incentives to enable applying for online jobs.
Experimental Design Details
Not available
Randomization Method
Randomization done in office by a computer
Randomization Unit
Individuals
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
Our target sample is 1000 workers. Recruitment of participants will be in batches, with the initial pilot 200 workers currently underway.
Sample size: planned number of observations
1000 workers
Sample size (or number of clusters) by treatment arms
500 workers control, 500 workers treatment.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
University of Michigan Institutional Review Board
IRB Approval Date
2025-09-16
IRB Approval Number
HUM00230621