Rafael Lalive
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rlalive.bsky.social
Rafael Lalive
@rlalive.bsky.social
70 followers 13 following 4 posts

Professor of Economics

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Economics 43%
Public Health 14%
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Reposted by Rafael Lalive

rfberlin.bsky.social
ROCKWOOL Foundation Berlin @rfberlin.bsky.social · 28d
🆕 RFBerlin working paper: Mirjam Bächli, @rlalive.bsky.social and Michele Pellizzari design and test individually tailored recommendations for job seekers, finding significant improvements in reemployment outcomes, especially among disadvantaged individuals. 🔗 www.rfberlin.com/network-pape...

Reposted by Rafael Lalive

Reposted by Rafael Lalive

Reposted by Rafael Lalive

voxeu.org
VoxEU @ CEPR @voxeu.org · Mar 27
Automated occupation recommendations based on a jobseeker's profile of their assessed skills are effective for jobseekers previously mismatched in their roles or with limited work experience.
Mirjam Bächli, @rlalive.bsky.social, Michele Pellizzari
cepr.org/voxeu/column...
#EconSky
Graph of job-finding rates of jobseekers provided automated recommendations based on experience or profile. Those recommended occupations based on their profile were more likely to find a job. Despite the rise of online job search platforms, many jobseekers still struggle to find suitable employment. Automated occupation recommendations promise to help workers with better job matches. This column uses an experiment in Switzerland to compare two types of occupation recommendations for jobseekers – one based on workers’ experience and another on their profile of assessed skills. Profile-based recommendations are effective for jobseekers previously mismatched in their roles or with limited work experience. Policymakers should consider integrating automated occupation recommendations more systematically into public employment services.

Reposted by Rafael Lalive

rfberlin.bsky.social
ROCKWOOL Foundation Berlin @rfberlin.bsky.social · Jun 13
Taking the stage, @rlalive.bsky.social speaking about “Automated and Personalized Job Recommendations for Jobseekers: Evidence from a Randomized Intervention”.

rlalive.bsky.social
Rafael Lalive @rlalive.bsky.social · Jun 14
Inspiring @cepr.org workshop at @rfberlin.bsky.social
rfberlin.bsky.social ROCKWOOL Foundation Berlin @rfberlin.bsky.social · Jun 13
Taking the stage, @rlalive.bsky.social speaking about “Automated and Personalized Job Recommendations for Jobseekers: Evidence from a Randomized Intervention”.

Reposted by Rafael Lalive

Reposted by Rafael Lalive

Reposted by Rafael Lalive

rlalive.bsky.social
Rafael Lalive @rlalive.bsky.social · Apr 1
New insights on job recommendations...
voxeu.org VoxEU @ CEPR @voxeu.org · Mar 27
Automated occupation recommendations based on a jobseeker's profile of their assessed skills are effective for jobseekers previously mismatched in their roles or with limited work experience.
Mirjam Bächli, @rlalive.bsky.social, Michele Pellizzari
cepr.org/voxeu/column...
#EconSky
Graph of job-finding rates of jobseekers provided automated recommendations based on experience or profile. Those recommended occupations based on their profile were more likely to find a job. Despite the rise of online job search platforms, many jobseekers still struggle to find suitable employment. Automated occupation recommendations promise to help workers with better job matches. This column uses an experiment in Switzerland to compare two types of occupation recommendations for jobseekers – one based on workers’ experience and another on their profile of assessed skills. Profile-based recommendations are effective for jobseekers previously mismatched in their roles or with limited work experience. Policymakers should consider integrating automated occupation recommendations more systematically into public employment services.

rlalive.bsky.social
Rafael Lalive @rlalive.bsky.social · Mar 10
Thank you Marius for the fantastic collaboration.

Reposted by Rafael Lalive

Reposted by Rafael Lalive, Arto Laitinen

georgetakei.bsky.social
George Takei @georgetakei.bsky.social · Feb 16
Captures it perfectly.