CHLR “应用微观经济学研讨会”系列讲座发布日期：2023-04-21 点击数：
主题：Job Task Complexity and Problem-solving Skills
摘要：A person's ability to solve problems is considered as one of the most complex and sophisticated aspects of human cognition. This study investigates the formation of a worker's problem-solving skills using two datasets from Germany. We analyze the accumulation of skills at different levels, i.e., general problem-solving skills and complex problem-solving skills. We focus on how learning-by-doing via job tasks contributes to skill development, and construct a series of occupation-level and person-level job task measures to reflect the heterogeneity of learning-by-doing. Results show that both within-occupation and between-occupation variations in job tasks contribute to skill development, and there are heterogeneous imacts from different types of job tasks. We further analyzed the dynamic effects of learning-by-doing via job tasks.
关于主讲人：Qinyi Liu is Assistant Professor at the School of International Trade and Economics, University of International Business and Economics. She received her PhD in Economics from Georgia Institute of Technology in 2018. Her primary research field is labor economics with a focus on education, lifelong learning, human capital and regional inequality. Her work has been published inJournal of Comparative Economics,Journal of Economic Behavior and Organization, etc.