The determinants of the academic outcome: an Bayesian approach using a sample of economics students from the University of Brasilia, Brazil
AbstractUsing 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.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 44784.
Date of creation: Nov 2012
Date of revision:
Higher Education; Academic Outcome; Bayesian Econometrics; Affirmative Policies;
Find related papers by JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
- I23 - Health, Education, and Welfare - - Education - - - Higher Education and Research Institutions
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.
- 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.
- 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, CIBC Centre for Human Capital and Productivity Working Papers 20012, University of Western Ontario, CIBC Centre for Human Capital and Productivity.
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