Title: Mapping job complexity and skills into wages Show Chinese title

Title: 将工作复杂性和技能映射到工资

Abstract: We use algorithmic and network-based tools to build and analyze the bipartite network connecting jobs with the skills they require. We quantify and represent the relatedness between jobs and skills by using statistically validated networks. Using the fitness and complexity algorithm, we compute a skill-based complexity of jobs. This quantity is positively correlated with the average salary, abstraction, and non-routinarity level of jobs. Furthermore, coherent jobs - defined as the ones requiring closely related skills - have, on average, lower wages. We find that salaries may not always reflect the intrinsic value of a job, but rather other wage-setting dynamics that may not be directly related to its skill composition. Our results provide valuable information for policymakers, employers, and individuals to better understand the dynamics of the labor market and make informed decisions about their careers. Show Chinese abstract

Abstract: 我们使用算法和基于网络的工具来构建和分析连接工作与所需技能的二分网络。 我们通过使用统计验证的网络来量化和表示工作与技能之间的相关性。 使用适应度和复杂性算法，我们计算工作的基于技能的复杂性。 该数值与工作的平均工资、抽象性和非常规性水平呈正相关。 此外，定义为需要密切相关的技能的工作——在平均情况下工资较低。 我们发现，工资并不总是反映工作的内在价值，而是可能与其他与技能组成无直接关系的工资设定动态有关。 我们的结果为政策制定者、雇主和个人提供了有价值的信息，以更好地理解劳动力市场的动态，并对其职业做出明智的决策。