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IZA Discussion Paper No. 17713
February 2025
Helping Jobseekers with Recommendations Based on Skill Profiles or Past Experience: Evidence from a Randomized Intervention

Searching for jobs is challenging, and online platforms now often offer tailored job recommendations. In a randomized controlled trial with over 1,250 participants, we evaluate recommendations based on prior experience and based on skill profiles assessed at study enrolment, respectively. We find that on average both types of recommendations improve job finding rates. Profile-based recommendations are especially effective for individuals with limited experience and mismatch in the prior job, while experience-based recommendations may slower job finding for those with limited experience but a well-matched previous job. These findings highlight the need to align job search advice with jobseekers' skills.

Kommunikation
Mark Fallak
mark.fallak@liser.lu
+352 585-855-526
World of Labour
Olga Nottmeyer
olga.nottmeyer@liser.lu
+352 585-855-501
Netzwerkkoordination
Christina Gathmann
christina.gathmann@liser.lu

Das IZA@LISER-Netzwerk ist eine weltweite Gemeinschaft für exzellente Forschung in der Arbeitsmarktökonomie und angrenzenden Fachgebieten. Nach dem Wechsel von Bonn wird das Netzwerk nun am Luxembourg Institute of Socio-Economic Research (LISER) koordiniert.

Über das IZA@LISER Network
Contact
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Luxembourg Institute of Socio-Economic Research (LISER)
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Maison des Sciences Humaines
L-4366 Esch-sur-Alzette / Belval, Luxembourg

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Forschungsinstitut zur Zukunft der Arbeit GmbH i. L.
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Phone: +49 228 3894-0 | Fax: +49 228 3894-510
E-Mail: info@iza.org | Web: www.iza.org
Represented by: Martin T. Clemens (Liquidator)