Helping jobseekers with recommendations based on skill profiles or past experience: Evidence from a randomized intervention

Mirjam Bächli, Rafael Lalive and Michele Pellizzari

No 2589, RFBerlin Discussion Paper Series from ROCKWOOL Foundation Berlin (RFBerlin)

Abstract: Searching for jobs is challenging, and online platforms increasingly aim to improve outcomes by offering personalized job recommendations. In a randomized controlled trial with over 1,250 participants, we evaluate recommendations based either on prior experience or on skill profiles assessed at study enrolment. We find that both types of recommendations tend to improve job finding rates. Profile-based recommendations are particularly effective for individuals with limited experience and mismatch in their previous employment. These findings highlight the importance of aligning job search advice with jobseekers' skills, especially for disadvantaged groups.

Keywords: Jobseekers; online job search; job recommendations (search for similar items in EconPapers)
JEL-codes: J24 J62 J64 (search for similar items in EconPapers)
Date: 2025-10
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.rfberlin.com/wp-content/uploads/2025/10/25089.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:crm:wpaper:2589

Access Statistics for this paper

More papers in RFBerlin Discussion Paper Series from ROCKWOOL Foundation Berlin (RFBerlin) Contact information at EDIRC.
Bibliographic data for series maintained by Moritz Lubczyk () and Matthew Nibloe ().