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Advising Job Seekers in Occupations with Poor Prospects: A Field Experiment
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Michèle Belot,
Philipp Kircher,
Paul Muller,
Bart K. de Koning,
Didier Fouarge,
Sandra Phlippen
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2025 |
Netherlands
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NBER Working Papers (No. 33819) |
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Closing the Mismatch: Encouraging Jobseekers to Reskill for Shortage Occupations
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Elisabeth Leduc,
Ilan Tojerow
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2025 |
Belgium
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IZA Discussion Papers (No. 17731) |
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Do the Long-term Unemployed Benefit from Automated Occupational Advice during Online Job Search?
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Michèle Belot,
Philipp Kircher,
Paul Muller
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2025 |
United Kingdom
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Economic Journal |
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Helping Jobseekers with Recommendations Based on Skill Profiles or Past Experience: Evidence from a Randomized Intervention
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Mirjam Bächli,
Rafael Lalive,
Michele Pellizzari
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2025 |
Switzerland
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IZA Discussion Papers (No. 17713) |
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The potential of recommender systems for directing job search: A large scale experiment
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Luc Behaghel,
Marc Gurgand,
Sofia Dromundo,
Yagan Hazard,
Thomas Zuber
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2024 |
France
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– |
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How can AI improve search and matching? Evidence from 59 million personalized job recommendations
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Thomas Le Barbanchon,
Lena Hensvik,
Roland Rathelot
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2023 |
Sweden
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Toward job recommendation for all
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Guillaume Bied,
Solal Nathan,
Elia Perennes,
Morgane Hoffmann,
Philippe Caillou,
Bruno Crépon,
Christophe Gaillac,
Michèle Sebag
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2023 |
France
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IJCAI '23: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence |
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Can a Website Bring Unemployment Down? Experimental Evidence from France
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Bruno Crépon,
Aïcha Ben Dhia,
Esther Mbih,
Louise Paul-Delvaux,
Bertille Picard,
Vincent Pons
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2022 |
France
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NBER Working Papers (No. 29914) |
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The Direct and Indirect Effects of Online Job Search Advice
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Steffen Altmann,
Anita M. Glenny,
Robert Mahlstedt,
Alexander Sebald
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2022 |
Denmark
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IZA Discussion Paper Series (No. 15830) |
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Providing Advice to Jobseekers at Low Cost: An Experimental Study on Online Advice
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Michèle Belot,
Philipp Kircher,
Paul Muller
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2019 |
United Kingdom
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The Review of Economic Studies |
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The more you know: Information effects on job application rates in a large field experiment
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Laura K. Gee
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2019 |
United States of America
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Management Science |
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