High school grades and university performance: A case study
AbstractA 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Elsevier in its journal Economics of Education Review.
Volume (Year): 31 (2012)
Issue (Month): 5 ()
Contact details of provider:
Web page: http://www.elsevier.com/locate/econedurev
High school grades; University performance; HLM model;
Other versions of this item:
- Philippe Cyrenne & Alan Chan, 2010. "High School Grades and University Performance: A Case Study," Departmental Working Papers 2010-02, The University of Winnipeg, Department of Economics.
- 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
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2000. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," NBER Working Papers 7831, National Bureau of Economic Research, Inc.
- Christopher F Baum, 2006. "An Introduction to Modern Econometrics using Stata," Stata Press books, StataCorp LP, number imeus, July.
- 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.
- Zimmerman, David J., 1999. "Peer Effects in Academic Outcomes: Evidence From a Natural Experiment," Williams Project on the Economics of Higher Education DP-52, Department of Economics, Williams College.
- 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 1141-77, September.
- 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.
- Naylor, Robin & Smith, Jeremy, 2002. "Schooling Effects On Subsequent University Performance : Evidence For The Uk University Population," The Warwick Economics Research Paper Series (TWERPS) 657, University of Warwick, Department of Economics.
- 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.
- 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.
- 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.
- 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.
- 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 137-56, May.
- 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.
- Sandra E. Black & Jane Arnold Lincove & Jenna Cullinane & Rachel Veron, 2014.
"Can you Leave High School Behind?,"
CESifo Working Paper Series
4637, CESifo Group Munich.
- Sandra E. Black & Jane Arnold Lincove & Jenna Cullinane & Rachel Veron, 2014. "Can You Leave High School Behind?," NBER Working Papers 19842, National Bureau of Economic Research, Inc.
- Black, Sandra E. & Lincove, Jane Arnold & Cullinane, Jenna & Veron, Rachel, 2014. "Can You Leave High School Behind?," IZA Discussion Papers 7899, Institute for the Study of Labor (IZA).
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.