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Which Factors Determine Academic Performance of Undergraduate Students in Economics? Some Spanish Evidence

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  • Dolado, Juan J
  • Morales, Eduardo

Abstract

This paper analyses the determinants of academic performance of first-year undergraduate students in Economics at Universidad Carlos III de Madrid, over the period 2001-2005. We focus on a few core subjects which differ in their degree of mathematical complexity. Type of school, specialization track at high school, and the grades obtained at the university entry-exam are among the key factors we examine. Our main finding is that those students who completed a technical track at high school tend to do much better in subjects involving mathematics than those who followed a social sciences track (tailor-made for future economics students) and that the latter do not perform significantly better than the former in subjects with less degree of formalism. Moreover, students from public schools are predominant in the lower and upper parts of the grade distribution while females tend to perform better than males.

Suggested Citation

  • Dolado, Juan J & Morales, Eduardo, 2007. "Which Factors Determine Academic Performance of Undergraduate Students in Economics? Some Spanish Evidence," CEPR Discussion Papers 6237, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:6237
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    1. Anne Case & Angus Deaton, 1999. "School Inputs and Educational Outcomes in South Africa," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(3), pages 1047-1084.
    2. Jesse Levin, 2001. "For whom the reductions count: A quantile regression analysis of class size and peer effects on scholastic achievement," Empirical Economics, Springer, vol. 26(1), pages 221-246.
    3. Koenker, Roger & Bassett, Gilbert, Jr, 1982. "Robust Tests for Heteroscedasticity Based on Regression Quantiles," Econometrica, Econometric Society, vol. 50(1), pages 43-61, January.
    4. Lorraine Dearden & Javier Ferri & Costas Meghir, 2002. "The Effect Of School Quality On Educational Attainment And Wages," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 1-20, February.
    5. Eide, Eric & Showalter, Mark H., 1998. "The effect of school quality on student performance: A quantile regression approach," Economics Letters, Elsevier, vol. 58(3), pages 345-350, March.
    6. Hanushek, Eric A, 1995. "Interpreting Recent Research on Schooling in Developing Countries," The World Bank Research Observer, World Bank, vol. 10(2), pages 227-246, August.
    7. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    8. Rainer Winkelmann & Stefan Boes, 2006. "Analysis of Microdata," Springer Books, Springer, number 978-3-540-29607-2, September.
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    Cited by:

    1. Fedriani Martel, Eugenio M. & Romano Paguillo, Inmaculada, 2017. "Análisis cualitativo comparativo difuso para determinar influencias entre variables socio-económicas y el rendimiento académico de los universitarios || Fuzzy-Set Qualitative Comparative Analysis to D," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 24(1), pages 250-269, Diciembre.
    2. Juan J. Dolado & Eduardo Morales, 2009. "Which factors determine academic performance of Economics freshers? Some Spanish evidence," Investigaciones Economicas, Fundación SEPI, vol. 33(2), pages 179-210, May.
    3. Johan N. M. Lagerlöf & Andrew J. Seltzer, 2009. "The Effects of Remedial Mathematics on the Learning of Economics: Evidence from a Natural Experiment," The Journal of Economic Education, Taylor & Francis Journals, vol. 40(2), pages 115-137, April.

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    More about this item

    Keywords

    Academic performance; Multinomial logit; Pre-university determinants; Quantile regressions;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I29 - Health, Education, and Welfare - - Education - - - Other

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