AI and Job-Market signaling

Last registered on September 19, 2025
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Pre-Trial

Trial Information

General Information

Title
AI and Job-Market signaling
RCT ID
AEARCTR-0016732
Initial registration date
September 18, 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 19, 2025, 10:24 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

Name
Moritz Janas
Affiliation
NYU Abu Dhabi
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Other Primary Investigator(s)

PI Name
Antonio Nicolo
PI Affiliation
University of Padua
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PI Name
Paolo Roberti
PI Affiliation
Free University of Bozen/Bolzano
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Additional Trial Information

Status
In development
Start date
2025-09-22
End date
2026-03-31
Keywords
Behavior
Additional Keywords
JEL code(s)
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This study investigates the impact of artificial intelligence (AI) on hiring decisions using a controlled laboratory experiment. We examine whether agents’ access to AI tools influences principals’ ability to identify the most suitable candidates. By randomly varying the AI support available to agents, we assess how algorithmically enhanced applications shape principals’ behavior and selection outcomes. In an additional treatment dimension, we explore how participants self-select into different environments, with or without AI assistance. The experiment is programmed in oTree and conducted in the laboratory of the University of Padua.
External Link(s)

Registration Citation

Citation
Janas, Moritz, Antonio Nicolo and Paolo Roberti. 2025. "AI and Job-Market signaling." AEA RCT Registry. September 19. https://doi.org/10.1257/rct.16732-1.0
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2025-09-22
Intervention End Date
2026-03-31

Primary Outcomes

Primary Outcomes (end points)
Hiring Behavior of Principals (in combination with Logic Score of the participants); Selection into LLM or NoLLM environments; Confidence of participants
Primary Outcomes (explanation)
All outcomes are variables within the laboratory experiment. For details, see the attached pdf.

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Participants enter the laboratory and are randomly allocated in different treatments. We will observe whether there are treatment differences in behavior (more details in the field "Experimental Design (Hidden)".
Experimental Design Details
Not available
Randomization Method
the experiment is programmed in oTree. All randomization takes place within the program.
Randomization Unit
Participants are individually randomly allocated to different treatments.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
300 participants
Sample size: planned number of observations
300 participants
Sample size (or number of clusters) by treatment arms
we aim for 300 participants in total. The exact distribution among the treatments will depend on the showup patterns in the laboratory. In general, we aim for 180 in the Exo treatments (90 LLM, 90 NoLLM), and 120 in the Endo treatments (distributed according to the choices of the participants).
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
German Association for Experimental Economic Research e.V.
IRB Approval Date
2025-09-05
IRB Approval Number
No. gi4IBrf1
Analysis Plan

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