Joyez Charlie, Laffineur Catherine
Université Cote d'Azur, GREDEG, 06560 Valbonne, France.
Appl Netw Sci. 2022;7(1):16. doi: 10.1007/s41109-022-00453-3. Epub 2022 Mar 14.
This article presents the Occupation Space, a weighted and directed network of occupations built from an extensive database that tracks French workers employment trajectories between 2003 and 2015. In this network, the links between occupations stands for the easiness to switch from one occupation to another that we interpret as being a good proxy for skill proximity between occupations. The article first describes the structural characteristics of the network. We show that some occupations offer workers important redeployment possibilities to other occupations. Then we use information on the centrality of occupations in the network to analyze its correlation with wage premium and unemployment duration. Our results show that the network-based index of centrality is informative of the sources of several labor market outcomes and inequalities.
本文介绍了职业空间，这是一个加权有向职业网络，它基于一个广泛的数据库构建而成，该数据库追踪了2003年至2015年间法国工人的就业轨迹。在这个网络中，职业之间的联系代表了从一种职业转换到另一种职业的难易程度，我们将其解释为职业之间技能接近程度的良好代理指标。文章首先描述了该网络的结构特征。我们表明，一些职业为工人提供了向其他职业重新部署的重要可能性。然后，我们利用职业在网络中的中心性信息来分析其与工资溢价和失业持续时间的相关性。我们的结果表明，基于网络的中心性指数能够为几种劳动力市场结果和不平等的根源提供信息。
