1 / 11

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….

virote
Download Presentation

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

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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%.

More Related