TY  - RPRT
        AU  - Belot, Michèle
AU  - Kircher, Philipp
AU  - Muller, Paul
        TI  - Do the Long-Term Unemployed Benefit from Automated Occupational Advice during Online Job Search?
        PY  - 2022/Jul/
        PB  - Institute of Labor Economics (IZA)
        CY  - Bonn
        T2  - IZA Discussion Paper
        IS  - 15452
        UR  - https://www.iza.org/publications/dp15452
        AB  - 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.
        KW  - online advice
KW  - job search
KW  - long-term unemployment
KW  - occupational mobility
KW  - field experiment
        ER  -