We study how online job search advice affects the job search strategies and labor market outcomes of unemployed workers. In a large-scale field experiment, we provide job seekers with vacancy information and occupational recommendations on an online dashboard. A two-stage randomized design with regionally varying treatment intensities allows us to account for treatment spillovers. Our results show that online advice is highly effective when the share of treated workers is relatively low: in regions where less than less than 50% of job seekers are exposed to treatment, working hours and earnings of treated job seekers increase significantly in the year after the intervention. At the same time, we find substantial negative spillovers on other treated job seekers for higher treatment intensities, resulting from increased competition between treated job seekers who apply for similar vacancies.
The link for participation in the event is the following: https://fernuni.zoom.us/j/61604483707.
Find out more about Steffen Altmann on his personal website.
PhD researcher in Computer Science – Effortful Learning with Generative AI (100 %)
PhD researcher in Computer Science – Collaborative Embodied Learning in VR (100%)
Assistant-e pour le module de Psychologie différentielle et psychométrie du Bachelor en…
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