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

Author

Listed:
  • Bächli, Mirjam
  • Lalive, Rafael
  • Pellizzari, Michele

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.

Suggested Citation

  • Bächli, Mirjam & Lalive, Rafael & Pellizzari, Michele, 2025. "Helping Jobseekers with Recommendations Based on Skill Profiles or Past Experience: Evidence from a Randomized Intervention," CEPR Discussion Papers 19949, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:19949
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    File URL: https://cepr.org/publications/DP19949
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    More about this item

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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