Search results for "Students’performance"

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Migration and students' performance: detecting geographical differences following a curves clustering approach

2020

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.

Statistics and ProbabilityComputingMilieux_THECOMPUTINGPROFESSIONApplication NotesComputer scienceClustering of curveeducationJob marketQuantile regressionCensored and truncated dataQuantile regressionComputingMilieux_COMPUTERSANDEDUCATIONEconometricsSettore SECS-S/05 - Statistica SocialeStatistics Probability and UncertaintySettore SECS-S/01 - StatisticaCluster analysisStudents’performanceJournal of Applied Statistics
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