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Title page 1
Contents 1
Abstract 3
1. Introduction 4
2. Study setup 6
2.1. Platform "Job for You" (J4U) 6
2.2. Recruitment and random assignment of participants 12
3. Data and descriptive statistics 13
3.1. Data 13
3.2. Descriptive statistics on recommendations and job search 14
4. Results 15
4.1. Recommendations and job search behaviour 16
4.2. Job finding 18
4.3. Types of jobs found 23
5. Discussion and interpretation of results 26
6. Conclusions 27
References 29
Tables 15
Table 1. Summary statistics and balance checks 15
Table 2. Treatment effects on months of unemployment during the study period 23
Table 3. Treatment effects on the characteristics of jobs found 25
Figures 7
Figure 1. Job search page 7
Figure 2. Interventions: occupation recommendations 11
Figure 3. Experience and mismatch in the previous job 16
Figure 4. Recommended and target occupations 17
Figure 5. Mismatch of clicked vacancies 19
Figure 6. Cumulative rates of job finding 20
Figure 7. Cumulative rates of job finding by groups of mismatch and experience 21
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 wellmatched previous job. These findings highlight the need to align job search advice with jobseekers’ skills.
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