Lowering Entry Barriers

Last registered on September 03, 2025

Pre-Trial

Trial Information

General Information

Title
Lowering Entry Barriers
RCT ID
AEARCTR-0016649
Initial registration date
August 31, 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
September 03, 2025, 9:15 AM 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
Queens University Belfast

Other Primary Investigator(s)

PI Affiliation
NYUAD
PI Affiliation
The American University in Cairo (AUC)

Additional Trial Information

Status
In development
Start date
2025-11-01
End date
2026-12-31
Secondary IDs
Prior work
This trial is based on or builds upon one or more prior RCTs.
Abstract
This study evaluates the impact of reducing job search costs using a randomized controlled trial.
External Link(s)

Registration Citation

Citation
Abdelfattah, Yasmine, Wifag Adnan and Nikita Sangwan. 2025. "Lowering Entry Barriers." AEA RCT Registry. September 03. https://doi.org/10.1257/rct.16649-1.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
This study evaluates the impact of reducing job search costs using a randomized controlled trial.
Intervention Start Date
2025-12-19
Intervention End Date
2025-12-31

Primary Outcomes

Primary Outcomes (end points)
Our primary outcome variables are the engagement on the platform - registration on the platform, number of bids placed, number of bids won, value of bids won, number of contests entered, number of contests won, number of employers followed, employer ratings of the workers, and membership extensions.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
This study evaluates the impact of reducing job search costs using a randomized controlled trial.
Experimental Design Details
Not available
Randomization Method
Locality-level randomisation is done by a computer.
Randomization Unit
Locality-level
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
138
Sample size: planned number of observations
2400
Sample size (or number of clusters) by treatment arms
Over 390 respondents in each treatment arm
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
NYU-AD
IRB Approval Date
2025-04-14
IRB Approval Number
HRPP-2024-38