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The determinants of the academic outcome: an Bayesian approach using a sample of economics students from the University of Brasilia, Brazil

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  • Ferreira Lima, Luis Cristovao

Abstract

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.

Suggested Citation

  • Ferreira Lima, Luis Cristovao, 2012. "The determinants of the academic outcome: an Bayesian approach using a sample of economics students from the University of Brasilia, Brazil," MPRA Paper 44784, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:44784
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    References listed on IDEAS

    as
    1. Stinebrickner Ralph & Stinebrickner Todd R., 2008. "The Causal Effect of Studying on Academic Performance," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 8(1), pages 1-55, June.
    2. 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.
    3. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    4. Kenneth G. Elzinga & Daniel O. Melaugh, 2009. "35,000 Principles of Economics Students: Some Lessons Learned," Southern Economic Journal, John Wiley & Sons, vol. 76(1), pages 32-46, July.
    5. Stinebrickner, Ralph & Stinebrickner, T.R.Todd R., 2004. "Time-use and college outcomes," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 243-269.
    6. Maxwell, Nan L & Lopus, Jane S, 1994. "The Lake Wobegon Effect in Student Self-Reported Data," American Economic Review, American Economic Association, vol. 84(2), pages 201-205, May.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Higher Education; Academic Outcome; Bayesian Econometrics; Affirmative Policies;
    All these keywords.

    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; Research Institutions

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