How individual characteristics affect university students drop-out: a semiparametric mixed-effects model for an Italian case study

DOI10.1080/02664763.2010.545373OpenAlexW2065016647MaRDI QIDQ5124912

Antonello Maruotti, Filippo Belloc, Lea Petrella

Publication date: 30 September 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2010.545373

zbMATH Keywords

multinomial regressionmixed effects modelsItalian university systemuniversity drop-out

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (4)

Semiparametric multinomial mixed-effects models: a university students profiling tool ⋮ Modelling students’ career indicators via mixtures of parsimonious matrix‐normal distributions ⋮ A biclustering approach to university performances: an Italian case study ⋮ Bayesian binary quantile regression for the analysis of Bachelor-to-Master transition

Uses Software

• Stata
• GLLAMM

Cites Work

• Identifiability of finite mixtures of multinomial logit models with varying and fixed effects
• Fairness of the national health service in Italy: a bivariate correlated random effects model
• A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data
• The Transition from University to Work: A Multilevel Approach to the Analysis of the Time to Obtain the First Job
• Dropping Out of University: A Statistical Analysis of the Probability of Withdrawal for UK University Students
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