IDEAS home Printed from https://ideas.repec.org/a/eee/ecoedu/v31y2012i5p524-542.html
   My bibliography  Save this article

High school grades and university performance: A case study

Author

Listed:
  • Cyrenne, Philippe
  • Chan, Alan

Abstract

A critical issue facing a number of colleges and universities is how to allocate first year places to incoming students. The decision to admit students is often based on a number of factors, but a key statistic is a student's high school grades. This paper reports on a case study of the subsequent performance at the University of Winnipeg of high school students from 84 Manitoba high schools. By tracking the university performance of students admitted for the years 1997–2002, we are able to estimate the likelihood of success of subsequent students based on their characteristics as well as their high school grades. In doing so, we use a number of alternative estimators including a Least Squares Dummy Variable Model and a Hierarchical Linear Model. The methodology should be of interest to admissions officers at other universities as an input into estimating the subsequent performance of first year students.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:ecoedu:v:31:y:2012:i:5:p:524-542
    DOI: 10.1016/j.econedurev.2012.03.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0272775712000301
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econedurev.2012.03.005?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
    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. Feinstein, Leon & Symons, James, 1999. "Attainment in Secondary School," Oxford Economic Papers, Oxford University Press, vol. 51(2), pages 300-321, April.
    4. Christopher F Baum, 2006. "An Introduction to Modern Econometrics using Stata," Stata Press books, StataCorp LP, number imeus, March.
    5. David J. Zimmerman, 2003. "Peer Effects in Academic Outcomes: Evidence from a Natural Experiment," The Review of Economics and Statistics, MIT Press, vol. 85(1), pages 9-23, February.
    6. 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.
    7. Hakkinen, Iida & Kirjavainen, Tanja & Uusitalo, Roope, 2003. "School resources and student achievement revisited: new evidence from panel data," Economics of Education Review, Elsevier, vol. 22(3), pages 329-335, June.
    8. John Ermisch & Marco Francesconi, 2001. "Family Matters: Impacts of Family Background on Educational Attainments," Economica, London School of Economics and Political Science, vol. 68(270), pages 137-156, May.
    9. Cohn, Elchanan & Cohn, Sharon & Balch, Donald C. & Bradley, James Jr., 2004. "Determinants of undergraduate GPAs: SAT scores, high-school GPA and high-school rank," Economics of Education Review, Elsevier, vol. 23(6), pages 577-586, December.
    10. Cameron,A. Colin & Trivedi,Pravin K., 2005. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9780521848053.
    11. 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.
    12. Ermisch, John & Francesconi, Marco, 2001. "Family Matters: Impacts of Family Background on Educational Attainments," Economica, London School of Economics and Political Science, vol. 68(270), pages 137-156, May.
    13. 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.
    14. 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.
    15. Wayne A. Grove & Tim Wasserman, 2004. "The Life-Cycle Pattern of Collegiate GPA: Longitudinal Cohort Analysis and Grade Inflation," The Journal of Economic Education, Taylor & Francis Journals, vol. 35(2), pages 162-174, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Charles L. Baum & Christopher J. Ruhm, 2016. "The Changing Benefits of Early Work Experience," Southern Economic Journal, John Wiley & Sons, vol. 83(2), pages 343-363, October.
    2. Trappey, Amy J.C. & Trappey, Charles V. & Liu, Penny H.Y. & Lin, Lee-Cheng & Ou, Jerry J.R., 2013. "A hierarchical cost learning model for developing wind energy infrastructures," International Journal of Production Economics, Elsevier, vol. 146(2), pages 386-391.
    3. Black, Sandra E. & Lincove, Jane & Cullinane, Jennifer & Veron, Rachel, 2015. "Can you leave high school behind?," Economics of Education Review, Elsevier, vol. 46(C), pages 52-63.
    4. Silva, Pedro Luís, 2022. "Specialists or All-Rounders: How Best to Select University Students?," IZA Discussion Papers 15271, Institute of Labor Economics (IZA).
    5. Beattie, Graham & Laliberté, Jean-William P. & Oreopoulos, Philip, 2018. "Thrivers and divers: Using non-academic measures to predict college success and failure," Economics of Education Review, Elsevier, vol. 62(C), pages 170-182.
    6. Black, Sandra E. & Cortes, Kalena E. & Lincove, Jane Arnold, 2014. "Efficacy vs. Equity: What Happens When States Tinker with College Admissions in a Race-Blind Era?," IZA Discussion Papers 8733, Institute of Labor Economics (IZA).
    7. Kieron J. Barclay & Dalton Conley, 2022. "The influence of cousin order and cousin group size on educational outcomes," MPIDR Working Papers WP-2022-013, Max Planck Institute for Demographic Research, Rostock, Germany.
    8. Phipps, Aaron & Amaya, Alexander, 2023. "Are students time constrained? Course load, GPA, and failing," Journal of Public Economics, Elsevier, vol. 225(C).
    9. Cardak, Buly A. & Vecci, Joe, 2013. "Catholic school effectiveness in Australia: A reassessment using selection on observed and unobserved variables," Economics of Education Review, Elsevier, vol. 37(C), pages 34-45.
    10. Hoffmann, Anna-Lena & Lerche, Katharina, 2016. "Class attendance and university performance," University of Göttingen Working Papers in Economics 286, University of Goettingen, Department of Economics.
    11. Nick Huntington-Klein & Andrew Gill, 2021. "Semester Course Load and Student Performance," Research in Higher Education, Springer;Association for Institutional Research, vol. 62(5), pages 623-650, August.
    12. Michelle Pleace & Nicky Nicholls, 2022. "Grit, motivation and university grades," South African Journal of Economics, Economic Society of South Africa, vol. 90(1), pages 21-36, March.
    13. Zhaoyi Cao & Tim Maloney, 2017. "Decomposing Ethnic Differences in University Academic Achievement in New Zealand," Working Papers 2017-02, Auckland University of Technology, Department of Economics.
    14. Carlos Vieira & Isabel Vieira & Luis Raposo, 2018. "Distance and academic performance in higher education," Spatial Economic Analysis, Taylor & Francis Journals, vol. 13(1), pages 60-79, January.
    15. Silva, Pedro Luís & Sá, Carla & Biscaia, Ricardo & Teixeira, Pedro N., 2022. "High School and Exam Scores: Does Their Predictive Validity for Academic Performance Vary with Programme Selectivity?," IZA Discussion Papers 15350, Institute of Labor Economics (IZA).
    16. Philippe Cyrenne & Alan Chan, 2019. "The Determinants of Student Success in University: A Generalized Ordered Logit Approach," Departmental Working Papers 2019-03, The University of Winnipeg, Department of Economics.
    17. Sezgin Polat & Jean-Jacques Paul, 2016. "How to predict university performance: a case study from a prestigious Turkish university?," Investigaciones de Economía de la Educación volume 11, in: José Manuel Cordero Ferrera & Rosa Simancas Rodríguez (ed.), Investigaciones de Economía de la Educación 11, edition 1, volume 11, chapter 22, pages 423-434, Asociación de Economía de la Educación.
    18. Meya, Johannes & Suntheim, Katharina, 2014. "The second dividend of studying abroad: The impact of international student mobility on academic performance," University of Göttingen Working Papers in Economics 215, University of Goettingen, Department of Economics.
    19. R. Bulyga P. & A. Amerslanova N. & Р. Булыга П. & А. Амерсланова Н., 2018. "Совершенствование системы контроля деятельности университетов в Российской Федерации // Improving the System of Control of Universities’ in the Russian Federation," Учет. Анализ. Аудит // Accounting. Analysis. Auditing, ФГОБУВО "Финансовый университет при Правительстве Российской Федерации" // Financial University under The Government of Russian Federation, vol. 5(6), pages 17-27.
    20. Silva, Maria C.A. & Camanho, Ana S. & Barbosa, Flávia, 2020. "Benchmarking of secondary schools based on Students’ results in higher education," Omega, Elsevier, vol. 95(C).
    21. Danilowicz-Gösele, Kamila & Meya, Johannes & Schwager, Robert & Suntheim, Katharina, 2014. "Determinants of students' success at university," University of Göttingen Working Papers in Economics 214, University of Goettingen, Department of Economics.
    22. 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.
    23. Liu, Vivian Y.T. & Belfield, Clive R. & Trimble, Madeline J., 2015. "The medium-term labor market returns to community college awards: Evidence from North Carolina," Economics of Education Review, Elsevier, vol. 44(C), pages 42-55.
    24. Li, Haizheng & Liu, Qinyi & Su, Yan & Ederer, Peer, 2023. "Policy initiatives, self-sorting, and labor market effects of tertiary education for adult workers," Journal of Economic Behavior & Organization, Elsevier, vol. 209(C), pages 205-221.
    25. Pengfei Jia & Tim Maloney, 2014. "Using Predictive Modelling to Identify Students at Risk of Poor University Outcomes," Working Papers 2014-03, Auckland University of Technology, Department of Economics.

    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. Philippe Cyrenne & Alan Chan, 2019. "The Determinants of Student Success in University: A Generalized Ordered Logit Approach," Departmental Working Papers 2019-03, The University of Winnipeg, Department of Economics.
    2. Jorge Calero & Josep-Oriol Escardíbul, 2007. "Evaluación de servicios educativos: el rendimiento en los centros públicos y privados medido en PISA-2003," Hacienda Pública Española / Review of Public Economics, IEF, vol. 183(4), pages 33-66, december.
    3. Fertig, Michael, 2003. "Educational Production, Endogenous Peer Group Formation and Class Composition – Evidence from the PISA 2000 Study," IZA Discussion Papers 714, Institute of Labor Economics (IZA).
    4. Woessmann, Ludger, 2004. "How Equal Are Educational Opportunities? Family Background and Student Achievement in Europe and the United States," IZA Discussion Papers 1284, Institute of Labor Economics (IZA).
    5. Black, Sandra E. & Lincove, Jane & Cullinane, Jennifer & Veron, Rachel, 2015. "Can you leave high school behind?," Economics of Education Review, Elsevier, vol. 46(C), pages 52-63.
    6. repec:zbw:rwidps:0002 is not listed on IDEAS
    7. Pedro de Araujo & James Murray, 2010. "Estimating the Effects of Dormitory Living on Student Performance," CAEPR Working Papers 2010-002, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    8. By Vincenzo Carrieri & Marcello D’Amato & Roberto Zotti, 2015. "On the causal effects of selective admission policies on students’ performances: evidence from a quasi-experiment in a large Italian university," Oxford Economic Papers, Oxford University Press, vol. 67(4), pages 1034-1056.
    9. Pedro de Araujo & James Murray, 2010. "Estimating the effects of dormitory living on student performance," Economics Bulletin, AccessEcon, vol. 30(1), pages 866-878.
    10. Elena Arias Ortiz & Catherine Dehon, 2008. "What are the Factors of Success at University? A Case Study in Belgium," CESifo Economic Studies, CESifo, vol. 54(2), pages 121-148.
    11. Hobbs, Graham & Vignoles, Anna, 2007. "Is free school meal status a valid proxy for socio-economic status (in schools research)?," LSE Research Online Documents on Economics 19385, London School of Economics and Political Science, LSE Library.
    12. 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.
    13. Timo Hener & Helmut Rainer & Thomas Siedler, 2016. "Political socialization in flux?: linking family non-intactness during childhood to adult civic engagement," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(3), pages 633-656, June.
    14. Michael Fertig, 2002. "Educational Production, Endogenous Peer Group Formation and Class Composition – Evidence From the PISA 2000 Study," RWI Discussion Papers 0002, Rheinisch-Westfälisches Institut für Wirtschaftsforschung.
    15. Cardak, Buly A. & Vecci, Joe, 2013. "Catholic school effectiveness in Australia: A reassessment using selection on observed and unobserved variables," Economics of Education Review, Elsevier, vol. 37(C), pages 34-45.
    16. David Mayston, 2007. "Competition And Resource Effectiveness In Education," Manchester School, University of Manchester, vol. 75(1), pages 47-64, January.
    17. Christian Dustmann & Najma Rajah & Arthur van Soest, 2003. "Class Size, Education, and Wages," Economic Journal, Royal Economic Society, vol. 113(485), pages 99-120, February.
    18. Silva, Maria C.A. & Camanho, Ana S. & Barbosa, Flávia, 2020. "Benchmarking of secondary schools based on Students’ results in higher education," Omega, Elsevier, vol. 95(C).
    19. Dustmann, Christian, 2001. "Parental Background, Primary to Secondary School Transitions, and Wages," IZA Discussion Papers 367, Institute of Labor Economics (IZA).
    20. Péter Miskolczi & Márton Rakovics, 2018. "Learning Outcomes in an Introductory Sociology Course: The Role of Learning Approach, Socio-Demographic Characteristics, Group and Teacher Effects," Societies, MDPI, vol. 8(1), pages 1-20, January.
    21. Yuxin Li & Karen Mumford, "undated". "Aspirations, Expectations and Education Outcomes for Children in Britain: Considering Relative Measures of Family Efficiency," Discussion Papers 09/26, Department of Economics, University of York.

    More about this item

    Keywords

    High school grades; University performance; HLM model;
    All these keywords.

    JEL classification:

    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
    • L4 - Industrial Organization - - Antitrust Issues and Policies
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • I2 - Health, Education, and Welfare - - Education

    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:eee:ecoedu:v:31:y:2012:i:5:p:524-542. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/econedurev .

    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.