Informing Migration Decisions: Experimental Evidence from Georgia

Last registered on March 03, 2025

Pre-Trial

Trial Information

General Information

Title
Informing Migration Decisions: Experimental Evidence from Georgia
RCT ID
AEARCTR-0015487
Initial registration date
March 03, 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
March 03, 2025, 9:33 AM EST

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

Locations

Region

Primary Investigator

Affiliation
Humboldt University Berlin

Other Primary Investigator(s)

Additional Trial Information

Status
On going
Start date
2024-10-13
End date
2028-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Persistent labor shortages, particularly within high-skilled occupations, have prompted the European Union to reform its labor migration policies, most notably by relaxing the issuance requirements for the EU Blue Card since 2021. Several Member States have also undertaken localized reforms, which include reducing residency requirements, simplifying pathways to citizenship, and eliminating labor market tests. These measures intend to attract high-skilled workers from the non-EU countries. However, a significant barrier persists: many high-skilled workers outside the EU may remain unaware of these evolving policy frameworks. This paper investigates the impact of information frictions concerning labor migration policies, with a focus on how access to accurate information shapes migration intentions and destination choices among high-skilled workers from third countries. Using a randomized controlled trial among public university students in Georgia, the study investigates the extent to which migrants harbour biased beliefs about migration requirements and assesses how providing reliable policy information affects their destination preferences. These findings will underscore the importance of addressing information gaps to enhance labor allocation efficiency and optimize migration outcomes. By shifting focus from irregular migration to recruitment and retention of high-skilled workers, this research will highlight the potential of targeted policy communication strategies to reduce bias in perceptions and effectively attract the skilled labor force, thereby alleviating persistent labor shortages across Europe.









External Link(s)

Registration Citation

Citation
Khvitia, Ekaterine. 2025. "Informing Migration Decisions: Experimental Evidence from Georgia." AEA RCT Registry. March 03. https://doi.org/10.1257/rct.15487-1.0
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2025-04-01
Intervention End Date
2025-08-31

Primary Outcomes

Primary Outcomes (end points)
(changes between pre- and post-intervention)
Intention to Migrate;
Destination country choices (first, second, third).
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
(changes between pre- and post-intervention)

Intentions to migrate for the purposes of: Education, Low-skilled job, High-skilled job;
Subjective probability of success in migrating for the purpose of: Education, Low-skilled job, High-skilled job;
Intentions to migrate: right after graduation, at the age of 25, at the age of 30.
Intention to migrate: short-term (less than 5years), medium-term (more than 5years but not permanently), long-term (permanently).

Least favourite destination country choices (first, second, third from the most undesirable to the slightly less undesirable.).
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The public university students were randomly allocated into one of the following 2groups:
1. "Treated": students in the Treatment group received the information booklet about the country-specific labor migration policies/restrictions.
2. "Controlled": students in the Controlled group did not receive any information.
Experimental Design Details
Not available
Randomization Method
randomization done by the survey program with built-in randomizer (Qualtrics)
Randomization Unit
individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
N/A
Sample size: planned number of observations
1,500 students (out of ~15,000 total number of students that are enrolled in the public universities)
Sample size (or number of clusters) by treatment arms
750 students per group (treatment, control)
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Ethics Committee of the School of Business and Economics of Humboldt-Universität zu Berlin
IRB Approval Date
2024-07-23
IRB Approval Number
2024-04