Helping Jobseekers with Recommendations Based on Skill Profiles or Past Experience: Evidence from a Randomized Intervention

Bächli, Mirjam, Rafael Lalive and Michele Pellizzari

No 19949, CEPR Discussion Papers from Centre for Economic Policy Research

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.

JEL-codes: J24 J62 J64 (search for similar items in EconPapers)
Date: 2025-02
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