Do Algorithmic Job Recommendations improve Search and Matching? Evidence from a Large-Scale randomised Field Experiment in Sweden
Speaker(s)Thomas Le Barbanchon (Bocconi University, Italy)
Date and time
June 01, 2021
16:00 - 17:00
Abstract: We design a job recommender system that recommends job ads to Swedish job seekers. The job recommender system is hosted on the largest online job board in Sweden, and it is based on a collaborative filtering ML algorithm. We then evaluate how job seekers respond to job recommendations (clicks, applications, job finding, earnings), and the implications for vacancies and recruiters. Joint with Hensvik, Le Barbanchon, and Rathelot.