Do the Long-Term Unemployed Benefit from Automated Occupational Advice during Online Job Search?

Arbeitspapier

In a randomized field experiment, we provide personalized suggestions about suitable alternative occupations to long-term unemployed job seekers in the UK. The suggestions are automatically generated, integrated in an online job search platform, and fed into actual search queries. Effects on the primary pre-registered outcomes of “finding a stable job” and “reaching a cumulative earnings threshold” are positive, are significant among those who searched at least once, and are more pronounced for those who are longer unemployed. Treated individuals include more occupations in their search and find more jobs in recommended occupations.

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• Language: Englisch

References and Relationships

• Bibliographic citation: Series: IZA Discussion Papers ; No. 15452

Classification and Topics

• Classification: Wirtschaft ; Search; Learning; Information and Knowledge; Communication; Belief; Unawareness ; Job, Occupational, and Intergenerational Mobility; Promotion ; Field Experiments
• Subject: online advice ; job search ; long-term unemployment ; occupational mobility ; field experiment

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Belot, Michèle ; Kircher, Philipp ; Muller, Paul
• Event: Veröffentlichung
• (who): Institute of Labor Economics (IZA)
• (where): Bonn
• (when): 2022

Further information

• Handle: http://hdl.handle.net/10419/263668