AI and Labour Market Expectations: an Experimental Study

Last registered on November 01, 2023


Trial Information

General Information

AI and Labour Market Expectations: an Experimental Study
Initial registration date
October 30, 2023

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 01, 2023, 4:28 PM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.


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Primary Investigator

Maastricht University

Other Primary Investigator(s)

PI Affiliation
Maastricht University
PI Affiliation
Maastricht University; Dongbei University of Finance and Economics

Additional Trial Information

In development
Start date
End date
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
This project is a experimental study that explores the changes of labor market expectations of students when given information intervention. It aims to answer the following research question:

Whether and how does the information intervention (introducing AI technology, particularly Large Language Model (LLM), e.g. ChatGPT) affect vocational post-secondary students’ career choice and labor market expectations.
External Link(s)

Registration Citation

Yang, Tianyu, Xinxin Zhu and Ziyue Zhu. 2023. "AI and Labour Market Expectations: an Experimental Study." AEA RCT Registry. November 01.
Experimental Details


We will conduct a randomized controlled trial in a field context. The interventions are delivered in video format. Students will be randomly assigned into groups presented with videos which contain positive, negative, neutral information regarding LLM, and information not related to AI, respectively. The information we use is retrieved from scientific articles and reliable sources.
Intervention Start Date
Intervention End Date

Primary Outcomes

Primary Outcomes (end points)
the career choice of the students: the probability of choosing a digital(AI)-intense career path or not. The probability is measured on a scale from 1 to 100.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
(1) wage expectations (own and others)
(2) belief towards the labour market
(3) belief towards self ability
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
This is a randomized controlled trial. We will determine whether participants randomized to the group treated with positive/negative information regarding AI tools tended to choose/avoid occupations involved AI within a sample of vocational post-secondary students. Additionally, we will explore the mechanisms through different channels.

We will track research participants’ (1) realized internship choices; and (2) realized occupational choices after graduation.
Experimental Design Details
Not available
Randomization Method
randomization done by computer program (ie. Qualtrics or Otree)
Randomization Unit
Was the treatment clustered?

Experiment Characteristics

Sample size: planned number of clusters
5 faculties
Sample size: planned number of observations
2160 students
Sample size (or number of clusters) by treatment arms
540 students control, 540 students for each treatment groups
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)

Institutional Review Boards (IRBs)

IRB Name
The Ethics Review Committee of the Laboratory of Experimental Economics, Dongbei University of Finance and Economics (LEE, DUFE)
IRB Approval Date
IRB Approval Number
Analysis Plan

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