The Determinants of University Students Success: a Bivariate Latent Variable Model
AbstractThe analysis of performance indicators of university students has become of wide interest expecially in Italy where, over the last few decades, graduation rates have been well below the average of both European and OECD countries. This paper proposes an alternative method to jointly estimate the determinants of students academic success, in terms of both potential credits and retention, one year after they rst enrolled and a further analysis to evaluate whether there are any factors signi cantly determining the probability of dropping out, once we consider the students potential academic performance ceteris paribus. We implement the algorithm to estimate the parameters of a bivariate latent variable system and then of a conditional mean equation.
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Bibliographic InfoPaper provided by Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali in its series Working Papers with number 354.
Date of creation: Jan 2011
Date of revision:
Academic Performance; Bivariate Model; Drop-out; Maximum Likelihood; Potential Credits;
Find related papers by JEL classification:
- C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
- I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-01-23 (All new papers)
- NEP-EDU-2011-01-23 (Education)
- NEP-LAB-2011-01-23 (Labour Economics)
- NEP-SOG-2011-01-23 (Sociology of Economics)
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