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Determinants of Grades in Maths for Students in Economics

Author Info

  • 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

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File URL: http://www.hha.dk/nat/wper/09-17_dpozzoli.pdf
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Paper provided by University of Aarhus, Aarhus School of Business, Department of Economics in its series Working Papers with number 09-17.

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Length: 46 pages
Date of creation: 01 Jan 2009
Date of revision:
Handle: RePEc:hhs:aareco:2009_017
Contact details of provider: Postal:
The Aarhus School of Business, Prismet, Silkeborgvej 2, DK 8000 Aarhus C, Denmark

Phone: +45 89 486396
Fax: +45 8615 5175
Web page: http://www.asb.dk/departments/nat.aspx

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Keywords: maths grades; quantile regression; survival analysis;

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Find related papers by 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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  11. Francisco L. Rivera-Batiz, 1992. "Quantitative Literacy and the Likelihood of Employment among Young Adults in the United States," Journal of Human Resources, University of Wisconsin Press, vol. 27(2), pages 313-328.
  12. Massimiliano Bratti & Stefano Staffolani, 2013. "Student Time Allocation and Educational Production Functions," Annals of Economics and Statistics, GENES, issue 111-112, pages 103-140.
  13. Bishop, John Hillman, 1989. "Is the Test Score Decline Responsible for the Productivity Growth Decline?," American Economic Review, American Economic Association, vol. 79(1), pages 178-97, March.
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  16. McNabb, Robert & Pal, Sarmistha & Sloane, Peter, 2002. "Gender Differences in Educational Attainment: The Case of University Students in England and Wales," Economica, London School of Economics and Political Science, vol. 69(275), pages 481-503, August.
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Cited by:

  1. Agar Brugiavini & Carlo Carraro & Matija Kovacic, 2015. "Academic Achievements: Grades versus Duration," CESifo Working Paper Series 5280, CESifo Group Munich.
  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".

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