Students' migration mobility is the new form of migration: students migrate to improve their skills and become more valued for the job market. The data regard the migration of Italian Bachelors who enrolled at Master Degree level, moving typically from poor to rich areas. This paper investigates the migration and other possible determinants on the Master Degree students' performance. The Clustering of Effects approach for Quantile Regression Coefficients Modelling has been used to cluster the effects of some variables on the students' performance for three Italian macro-areas. Results show evidence of similarity between Southern and Centre students, with respect to the Northern ones.

学生的迁移流动是一种新的迁移形式：学生迁移是为了提高他们的技能，并在就业市场上变得更有价值。数据涉及攻读硕士学位的意大利学士学位的迁移，通常从贫困地区转移到富裕地区。本文调查了硕士生表现的迁移和其他可能的决定因素。分位数回归系数建模的效果聚类方法已被用于聚类一些变量对三个意大利宏观领域的学生表现的影响。结果显示，相对于北方学生，南方和中心学生之间存在相似性。