Bächli Mirjam, Benghalem Hélène, Tinello Doriana, Aschwanden Damaris, Zuber Sascha, Kliegel Matthias, Pellizzari Michele, Lalive Rafael
Department of Economics, University of Lausanne, Lausanne, Switzerland.
Cognitive Aging Lab, Center for Interdisciplinary Study of Gerontology and Vulnerabilities, University of Geneva, Geneva, Switzerland.
Swiss J Econ Stat. 2024;160(1):8. doi: 10.1186/s41937-024-00125-2. Epub 2024 Jul 25.
Information friction makes it difficult for job seekers to find new employment opportunities. We propose a method for providing individual-specific occupation recommendations by ranking occupations based on their proximity to the worker's profile. We identify a set of twelve skills, abilities and work styles that capture the worker-oriented requirements of all occupations and discuss how to measure these items using online questions and tasks. We use the Euclidean distance between the measured items pertaining to a worker and the requirements of an occupation to measure the proximity between job seekers and occupations. We show that the proximity between job seekers' profiles and their preunemployment occupation predicts their intention to change occupations, thus suggesting that our method captures a meaningful conceptualization of mismatch. We also show that our method generates recommendations that differ from the previous occupations of mismatched job seekers, thereby potentially expanding their search scope.
信息摩擦使得求职者难以找到新的就业机会。我们提出了一种方法，通过根据职业与工人档案的接近程度对职业进行排名，来提供针对个人的职业推荐。我们确定了一组十二种技能、能力和工作方式，这些技能、能力和工作方式涵盖了所有职业以工人为导向的要求，并讨论了如何使用在线问题和任务来衡量这些项目。我们使用与工人相关的测量项目与职业要求之间的欧几里得距离来衡量求职者与职业之间的接近程度。我们表明，求职者档案与其失业前职业之间的接近程度可以预测他们改变职业的意图，这表明我们的方法捕捉到了不匹配的有意义概念。我们还表明，我们的方法生成的推荐与不匹配求职者以前的职业不同，从而有可能扩大他们的搜索范围。
