| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP17150 |
| DP17150 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 | 2022-03-28 |
| 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 | Labour Economics |
| 关键词 | Unemployment Website Information Experiment France |
| URL | https://cepr.org/publications/dp17150 |
| 来源智库 | Centre for Economic Policy Research (United Kingdom) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/546138 |
| 推荐引用方式 GB/T 7714 | Aïcha Ben Dhia,Bruno Crépon,Esther Mbih,et al. DP17150 Can a Website Bring Unemployment Down? Experimental Evidence from France. 2022. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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