| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP17513 |
| DP17513 Do the Long-term Unemployed Benefit from Automated Occupational Advice during Online Job Search? | |
| Michele Belot; Philipp Kircher; Paul Muller | |
| 发表日期 | 2022-07-28 |
| 出版年 | 2022 |
| 语种 | 英语 |
| 摘要 | In a randomized field experiment, we provide personalized suggestions about suitable alternative occupations to long-term unemployed job seekers in the UK. The suggestions are automatically generated, integrated in an online job search platform, and fed into actual search queries. Effects on the primary pre-registered outcomes of "finding a stable job" and "reaching a cumulative earnings threshold" are positive, are significant among those who searched at least once, and are more pronounced for those who are longer unemployed. Treated individuals include more occupations in their search and find more jobs in recommended occupations. |
| 主题 | Labour Economics |
| 关键词 | Job search Long-term unemployment Occupational mobility Field experiment |
| URL | https://cepr.org/publications/dp17513 |
| 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/546598 |
| 推荐引用方式 GB/T 7714 | Michele Belot,Philipp Kircher,Paul Muller. DP17513 Do the Long-term Unemployed Benefit from Automated Occupational Advice during Online Job Search?. 2022. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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