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Determinants of Grades in Maths for Students in Economics

Author

Listed:
  • Cappellari, Lorenzo

    (Catholic University of Milan)

  • Lucifora, Claudio

    (Catholic University of Milan)

  • Pozzoli, Dario

    (Department of Economics, Aarhus School of Business)

Abstract

This paper investigates the determinants of grades achieved in mathematics by rst-year students in Economics. We use individual administrative data from 1993 to 2005 to t an educational production function. Our main ndings suggest that good secondary school achievements and the type of school attended are signi cantly associated with maths grades. Ceteris paribus, females typically do better than males. Since students can postpone the exam or repeat it when they fail, we also analyze the determinants of the elapsed time to pass the exam using survival analysis. Modeling simultaneously maths grades and the hazard of passing the exam, we nd that the overall hazard rate of passing the exam is higher for those students who get the higher grades. The longer students wait to take the exam, the less likely they are to obtain high grades

Suggested Citation

  • Cappellari, Lorenzo & Lucifora, Claudio & Pozzoli, Dario, 2009. "Determinants of Grades in Maths for Students in Economics," Working Papers 09-17, University of Aarhus, Aarhus School of Business, Department of Economics.
    • Handle: RePEc:hhs:aareco:2009_017
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    References listed on IDEAS

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    Cited by:

    1. Agar Brugiavini & Carlo Carraro & Matija Kovacic, 2014. "Academic Achievements: Grades versus Duration," Working Papers 2014:13, Department of Economics, University of Venice "Ca' Foscari".
    2. Shira Fano & Paolo Pellizzari, 2015. "The Effects of Facebook Discussions on Academic Performance," Working Papers 2015:28, Department of Economics, University of Venice "Ca' Foscari".
    3. Carlos Arias & Javier Valbuena & Jose Manuel Garcia, 2021. "The Impact of Secondary Education Choices on Mathematical Performance in University: The Role of Non-Cognitive Skills," Mathematics, MDPI, vol. 9(21), pages 1-16, October.
    4. Paola Azar & Alina Machado, 2024. "Gender gaps in career opportunities: a look at graduates in the field of business and economics in Uruguay," Documentos de Trabajo (working papers) 24-10, Instituto de Economía - IECON.

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    More about this item

    Keywords

    maths grades; quantile regression; survival analysis;
    All these keywords.

    JEL classification:

    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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