IDEAS home Printed from https://ideas.repec.org/h/aec/ieed10/10-17.html
   My bibliography  Save this book chapter

Determinants of Academic Success in Economics and Management

In: Investigaciones de Economía de la Educación 10

Author

Listed:
  • Dino Alves

    (Nova School of Business and Economics)

  • Ana Balcao Reis

    (Nova SBE, Universidade Nova de Lisboa)

  • Carmo Seabra

    (Nova SBE, Universidade Nova de Lisboa)

  • Luis Catela-Nunes

    (Nova SBE, Universidade Nova de LIsboa)

Abstract

This paper analyses the determinants of academic success of undergraduate students enrolled in 2009/10 at Nova School of Business and Economic, using information about students’ characteristics and skills to predict their future educational success, measured by four different outcomes. The main finding is that internal high school grade is a better predictor of achievement than the score of mathematics national exam. Additionally, gender, age, economic background and distance between home and Nova SBE seem to be correlated with performance. On the other hand, the estimates suggest that attending a private high school or following the economics track at high school are irrelevant for predicting educational outcomes, after controlling for the internal high school grade and the mathematics national exam score.

Suggested Citation

  • Dino Alves & Ana Balcao Reis & Carmo Seabra & Luis Catela-Nunes, 2015. "Determinants of Academic Success in Economics and Management," Investigaciones de Economía de la Educación volume 10, in: Marta Rahona López & Jennifer Graves (ed.), Investigaciones de Economía de la Educación 10, edition 1, volume 10, chapter 17, pages 335-356, Asociación de Economía de la Educación.
    • Handle: RePEc:aec:ieed10:10-17
    as

    Download full text from publisher

    File URL: http://repec.economicsofeducation.com/2015madrid/10-17.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alan B. Krueger, 1999. "Experimental Estimates of Education Production Functions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 497-532.
    2. Julian R. Betts & Darlene Morell, 1999. "The Determinants of Undergraduate Grade Point Average: The Relative Importance of Family Background, High School Resources, and Peer Group Effects," Journal of Human Resources, University of Wisconsin Press, vol. 34(2), pages 268-293.
    3. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    4. Mary O'Malley Borg & Harriet Stranahan, 2002. "The effect of gender and race on student performance in principles of economics: the importance of personality type," Applied Economics, Taylor & Francis Journals, vol. 34(5), pages 589-598.
    5. Eric A. Hanushek, 1979. "Conceptual and Empirical Issues in the Estimation of Educational Production Functions," Journal of Human Resources, University of Wisconsin Press, vol. 14(3), pages 351-388.
    6. Becker, William E & Watts, Michael, 1996. "Chalk and Talk: A National Survey on Teaching Undergraduate Economics," American Economic Review, American Economic Association, vol. 86(2), pages 448-453, May.
    7. Leão Fernandes, Graça & Chagas Lopes, Margarida, 2008. "ISEG Undergraduate Students: Determinants of Academic Performance," MPRA Paper 22082, University Library of Munich, Germany.
    8. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    9. 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.
    10. 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.
    11. Jeremy Smith & Robin Naylor, 2001. "Determinants of Degree Performance in UK Universities: A Statistical Analysis of the 1993 Student Cohort," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(1), pages 29-60, February.
    12. Geraint Johnes & Jill Johnes (ed.), 2004. "International Handbook on the Economics of Education," Books, Edward Elgar Publishing, number 2847.
    13. William N. Evans & Robert M. Schwab, 1995. "Finishing High School and Starting College: Do Catholic Schools Make a Difference?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(4), pages 941-974.
    14. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages 3-33, February.
    15. Charles L. Ballard & Marianne F. Johnson, 2004. "Basic Math Skills and Performance in an Introductory Economics Class," The Journal of Economic Education, Taylor & Francis Journals, vol. 35(1), pages 3-23, January.
    16. Horowitz, John B. & Spector, Lee, 2005. "Is there a difference between private and public education on college performance?," Economics of Education Review, Elsevier, vol. 24(2), pages 189-195, April.
    17. Jane S. Lopus, 1997. "Effects of the High School Economics Curriculum on Learning in the College Principles Class," The Journal of Economic Education, Taylor & Francis Journals, vol. 28(2), pages 143-153, June.
    18. W.H.J. Hassink & H. Kiiver, 2007. "Age-dependent Effects of Socio-economic Background on Educational Attainment - Evidence from Germany," Working Papers 07-26, Utrecht School of Economics.
    19. Hanushek, Eric A, 1986. "The Economics of Schooling: Production and Efficiency in Public Schools," Journal of Economic Literature, American Economic Association, vol. 24(3), pages 1141-1177, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:zbw:rwidps:0023 is not listed on IDEAS
    2. Ogundari, Kolawole, 2021. "A systematic review of statistical methods for estimating an education production function," MPRA Paper 105283, University Library of Munich, Germany.
    3. 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.
    4. Fiona Steele & Anna Vignoles & Andrew Jenkins, 2007. "The effect of school resources on pupil attainment: a multilevel simultaneous equation modelling approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(3), pages 801-824, July.
    5. Fertig, Michael, 2004. "What Can We Learn From International Student Performance Studies? Some Methodological Remarks," RWI Discussion Papers 23, RWI - Leibniz-Institut für Wirtschaftsforschung.
    6. 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.
    7. Michael Fertig, 2004. "What Can We Learn From International Student Performance Studies? Some Methodological Remarks," RWI Discussion Papers 0023, Rheinisch-Westfälisches Institut für Wirtschaftsforschung.
    8. Dinand Webbink, 2005. "Causal Effects in Education," Journal of Economic Surveys, Wiley Blackwell, vol. 19(4), pages 535-560, September.
    9. Corak, Miles & Lauzon, Darren, 2009. "Differences in the distribution of high school achievement: The role of class-size and time-in-term," Economics of Education Review, Elsevier, vol. 28(2), pages 189-198, April.
    10. David Brasington & Don Haurin, 2005. "Capitalization of Parent, School, and Peer Group Components of School Quality into House Price," Departmental Working Papers 2005-04, Department of Economics, Louisiana State University.
    11. Steven Dieterle & Cassandra M. Guarino & Mark D. Reckase & Jeffrey M. Wooldridge, 2015. "How do Principals Assign Students to Teachers? Finding Evidence in Administrative Data and the Implications for Value Added," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 34(1), pages 32-58, January.
    12. Bulman, George & Fairlie, Robert W., 2015. "Technology and Education: Computers, Software, and the Internet," IZA Discussion Papers 9432, Institute of Labor Economics (IZA).
    13. Larissa Da Silva Marioni & Ricardo Da Silva Freguglia & Ana Beatriz Monteiro Costa, 2016. "Impacts Of School Management On Educational Development: A Longitudinal Analysis From The Teacher’S Perspective," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 217, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    14. Smith, Jeremy & Naylor, Robin, 2005. "Schooling effects on subsequent university performance: evidence for the UK university population," Economics of Education Review, Elsevier, vol. 24(5), pages 549-562, October.
    15. Dustmann, Christian & Ku, Hyejin & Kwak, Do Won, 2018. "Why Are Single-Sex Schools Successful?," Labour Economics, Elsevier, vol. 54(C), pages 79-99.
    16. Cyrenne, Philippe & Chan, Alan, 2012. "High school grades and university performance: A case study," Economics of Education Review, Elsevier, vol. 31(5), pages 524-542.
    17. Hanushek, Eric A. & Kain, John F. & Rivkin, Steven G. & Branch, Gregory F., 2007. "Charter school quality and parental decision making with school choice," Journal of Public Economics, Elsevier, vol. 91(5-6), pages 823-848, June.
    18. Goldhaber, Dan D., 1996. "Public and private high schools: Is school choice an answer to the productivity problem?," Economics of Education Review, Elsevier, vol. 15(2), pages 93-109, April.
    19. Patrick McEwan, 2001. "The Effectiveness of Public, Catholic, and Non-Religious Private Schools in Chile's Voucher System," Education Economics, Taylor & Francis Journals, vol. 9(2), pages 103-128.
    20. Guillermo Jopen Sánchez, 2016. "Measuring Technical Efficiency in Primary Education: Evidences for Peruvian Case," Working Papers 77, Peruvian Economic Association.
    21. Francis Kramarz & Stephen Machin & Amine Ouazad, 2008. "What Makes a Test Score ? The Respective Contributions of Pupils, Schools and Peers in Achievement in English Primary Education," Working Papers 2008-21, Center for Research in Economics and Statistics.

    More about this item

    Keywords

    predictors of success; higher education; national exams; cumulative process of education;
    All these keywords.

    JEL classification:

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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aec:ieed10:10-17. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Domingo P. Ximénez-de-Embún (email available below). General contact details of provider: https://edirc.repec.org/data/aedeeea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.