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Maja Mihaljević Kosor University of Split, Faculty of Economics, CROATIA E-mail: majam@efst.hr

Examining the Determinants of Student Non-completion in Higher Education: An Application to Croatia. Maja Mihaljević Kosor University of Split, Faculty of Economics, CROATIA E-mail: majam@efst.hr. 1. Main motives….

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Maja Mihaljević Kosor University of Split, Faculty of Economics, CROATIA E-mail: majam@efst.hr

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  1. Examining the Determinants of Student Non-completion in Higher Education: An Application to Croatia Maja Mihaljević Kosor University of Split, Faculty of Economics, CROATIA E-mail: majam@efst.hr

  2. 1. Main motives… • Main problems in HE(in Aghion et al., 2008; van der Ploeg and Veugelers, 2008a): • Duration of studies • Small number of students earning a degree • Large number of students dropping out

  3. 2. Previous Empirical Work… • Defining and measuring non-completion • Contributions from authors in the UK and US • Tinto’s Student Integration Model (1971): • Student persistence (non-completion) depends on SOCIAL and ACADEMIC integration at the HEI • Main variables influencing non-completion: • Ability, gender, age, … • Socio-economic background • Current schooling characteristics • Peer effects (non-linearities) • Effort (usually not included)

  4. 3. Developing a Model of Student Non-completion for the First Year of Studies… • NC_1= f(X, F, S, P, E, C) • X = personal characteristics • F = family characteristics • S = previous schooling characteristics • P = peer effects • E = effort • C = current schooling characteristics

  5. 4. Preliminary Results… Data: • Faculty-level data from one large Croatian HEI • Time period: 1995-2002 • N=3310 students • Model (1) and Model (2)

  6. Limitations… • Missing data • Focusing on first year non-completion

  7. Table 1:Regression results for logit estimation of non-completion of the first level of studies, Model (1) and Model (2)

  8. Notes: Significant at ***1%, **5% and *10%.

  9. Table 2: Predicted probabilities

  10. Table 3: Regression results for Model (2) with MI(20), N=3310

  11. Thank you! Notes: Significant at ***1%, **5% and *10%.

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