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来源类型Working Paper
规范类型报告
DOI10.3386/w29914
来源IDWorking Paper 29914
Can a Website Bring Unemployment Down? Experimental Evidence from France
Aïcha Ben Dhia; Bruno Crépon; Esther Mbih; Louise Paul-Delvaux; Bertille Picard; Vincent Pons
发表日期2022-04-11
出版年2022
语种英语
摘要We evaluate the impact of an online platform giving job seekers tips to improve their search and recommendations of new occupations and locations to target, based on their personal data and labor market data. Our experiment used an encouragement design and was conducted in collaboration with the French public employment agency. It includes 212,277 individuals. We find modest effects on search methods: the users of the platform adopt some of its tips and they are more likely to use resources provided by public employment services. However, following individual trajectories for 18 months after the intervention, we do not observe any impact on time spent looking for a job, search scope (occupational or geographical), or self-reported well-being. Most importantly, we do not find any effect on any employment outcome, whether in the short or medium run. We conclude that the enthusiasm around the potential for job-search assistance platforms to help reduce unemployment should be toned down.
主题Microeconomics ; Economics of Information ; Labor Economics ; Labor Supply and Demand ; Unemployment and Immigration
URLhttps://www.nber.org/papers/w29914
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/587587
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GB/T 7714
Aïcha Ben Dhia,Bruno Crépon,Esther Mbih,et al. Can a Website Bring Unemployment Down? Experimental Evidence from France. 2022.
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