AI and Labour Market Expectations: an Experimental Study

Last registered on November 01, 2023
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Pre-Trial

Trial Information

General Information

Title
AI and Labour Market Expectations: an Experimental Study
RCT ID
AEARCTR-0012339
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.

Locations

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Primary Investigator

Name
Ziyue Zhu
Affiliation
Maastricht University
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Other Primary Investigator(s)

PI Name
Tianyu Yang
PI Affiliation
Maastricht University
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PI Name
Xinxin Zhu
PI Affiliation
Maastricht University; Dongbei University of Finance and Economics
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Additional Trial Information

Status
In development
Start date
2024-02-01
End date
2024-06-30
Keywords
Behavior, Education, Labor
Additional Keywords
JEL code(s)
J24, D83, D91, I25, I26
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
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

Citation
Yang, Tianyu, Xinxin Zhu and Ziyue Zhu. 2023. "AI and Labour Market Expectations: an Experimental Study." AEA RCT Registry. November 01. https://doi.org/10.1257/rct.12339-1.0
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
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
2024-02-01
Intervention End Date
2024-06-30

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
individual
Was the treatment clustered?
Yes

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)
Supporting Documents and Materials
IRB

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
2023-10-16
IRB Approval Number
202301003
Analysis Plan

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