The determinants of the academic outcome: an Bayesian approach using a sample of economics students from the University of Brasilia, Brazil
Using a survey conduct with 240 Economics students of the University of Brasília in August, 2011, this paper explores the determinants of the academic outcome, measured as the Gross Point Average of the University. The econometric method used to estimate is Ordinary Least Squares with Bayesian Inference. The explanatory variables include the habits of the students, such as study, frequency to classes and frequency to parties (the last one is a new approach in Brazil). Also, dummies of gender, work, type of high school and quota student were added. Study and frequency to classes turned out to be the most important determinants. The frequency to parties have not affected the Gross Point Average. The dummies had different results according to the group. There were no divergence with the major prior beliefs, with just one small exception.
|Date of creation:||Nov 2012|
|Date of revision:|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Kenneth G. Elzinga & Daniel O. Melaugh, 2009. "35,000 Principles of Economics Students: Some Lessons Learned," Southern Economic Journal, Southern Economic Association, vol. 76(1), pages 32-46, July.
- Stinebrickner, Ralph & Stinebrickner, T.R.Todd R., 2004.
"Time-use and college outcomes,"
Journal of Econometrics,
Elsevier, vol. 121(1-2), pages 243-269.
- Todd Stinebrickner & Ralph Stinebrickner, 2001. "Time Use and College Outcomes," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20012, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
- Bound, John & Brown, Charles & Mathiowetz, Nancy, 2001. "Measurement error in survey data," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 59, pages 3705-3843 Elsevier.
When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:44784. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter)
If references are entirely missing, you can add them using this form.