IDEAS home Printed from https://ideas.repec.org/a/ags/aareaj/118315.html
   My bibliography  Save this article

Predicting performance in undergraduate agricultural economics

Author

Listed:
  • Nolan, Elizabeth
  • Ahmadi-Esfahani, Fredoun Z.

Abstract

Entry to the Bachelor of Agricultural Economics (BAgrEc) program at the University of Sydney is consistently less competitive than that for the Bachelor of Economics (BEc) and Bachelor of Commerce (BComm) programs. Given that students in the BAgrEc program undertake units in common with students in the BEc and BComm programs, it is of interest to examine the importance of school performance and first year university in the determination of success at university. This paper takes information for nine cohorts of BAgrEc students and tests their performance in first-year core subjects against the university entrance ranking, school English and mathematics marks, gender, and type of school. The paper then uses the same information to predict which student characteristics at entry level are likely to lead to students completing the degree program. The implications of the analysis are explored.

Suggested Citation

  • Nolan, Elizabeth & Ahmadi-Esfahani, Fredoun Z., 2007. "Predicting performance in undergraduate agricultural economics," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(1), pages 1-15.
    • Handle: RePEc:ags:aareaj:118315
    DOI: 10.22004/ag.econ.118315
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/118315/files/j.1467-8489.2007.00363.x.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.118315?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
    ---><---

    References listed on IDEAS

    as
    1. Elizabeth J. Jensen & Ann L. Owen, 2001. "Pedagogy, Gender, and Interest in Economics," The Journal of Economic Education, Taylor & Francis Journals, vol. 32(4), pages 323-343, January.
    2. Peter Abelson, 2005. "Surveying University Student Standards In Economics," Economic Papers, The Economic Society of Australia, vol. 24(2), pages 116-132, June.
    3. Diane M. Dancer & Denzil G. Fiebig, 2004. "Modelling Students at Risk," Australian Economic Papers, Wiley Blackwell, vol. 43(2), pages 158-173, June.
    4. 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.
    5. Benjamin Greene, 1997. "Verbal Abilities, Gender, and the Introductory Economics Course: A New Look at an Old Assumption," The Journal of Economic Education, Taylor & Francis Journals, vol. 28(1), pages 13-30, March.
    6. Rothstein, J.M.Jesse M., 2004. "College performance predictions and the SAT," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 297-317.
    7. Rothstein, Jesse M, 2004. "College performance predictions and the SAT," Department of Economics, Working Paper Series qt59s4j4m4, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    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. Mallik, Girijasankar & Shankar, Sriram, 2016. "Does prior knowledge of economics and higher level mathematics improve student learning in principles of economics?," Economic Analysis and Policy, Elsevier, vol. 49(C), pages 66-73.
    2. Girijasankar Mallik & John Lodewijks, 2010. "Student Performance in a Large First Year Economics Subject: Which Variables are Significant?," Economic Papers, The Economic Society of Australia, vol. 29(1), pages 80-86, March.

    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. Mallik, Girijasankar & Shankar, Sriram, 2016. "Does prior knowledge of economics and higher level mathematics improve student learning in principles of economics?," Economic Analysis and Policy, Elsevier, vol. 49(C), pages 66-73.
    2. Ann L. Owen, 2011. "Student Characteristics, Behavior, and Performance in Economics Classes," Chapters, in: Gail M. Hoyt & KimMarie McGoldrick (ed.), International Handbook on Teaching and Learning Economics, chapter 32, Edward Elgar Publishing.
    3. Peter Bergman, 2020. "Nudging Technology Use: Descriptive and Experimental Evidence from School Information Systems," Education Finance and Policy, MIT Press, vol. 15(4), pages 623-647, Fall.
    4. Rajeev Darolia & Cory Koedel, 2018. "High Schools And Students' Initial Colleges And Majors," Contemporary Economic Policy, Western Economic Association International, vol. 36(4), pages 692-710, October.
    5. Peter Leopold S. Bergman & Elizabeth Kopko & Julio Rodriguez, 2021. "Using Predictive Analytics to Track Students: Evidence from a Seven-College Experiment," CESifo Working Paper Series 9157, CESifo.
    6. Verbetsky, Alexey D. (Вербецкий, Алексей) & Friedman, Alla A. (Фридман, Алла), 2016. "Universities’ Admission Policy and Student Competition [Политика Приема В Вузы И Конкуренция Абитуриентов]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 68-91, October.
    7. Jesse Rothstein & Albert Yoon, 2006. "Mismatch in Law School," Working Papers 29, Princeton University, School of Public and International Affairs, Education Research Section..
    8. Schlosser, Analia & Neeman, Zvika & Attali, Yigal, 2018. "Differential Performance in High vs. Low Stakes Tests: Evidence from the GRE Test," CEPR Discussion Papers 13360, C.E.P.R. Discussion Papers.
    9. Debopam Bhattacharya & Shin Kanaya & Margaret Stevens, 2017. "Are University Admissions Academically Fair?," The Review of Economics and Statistics, MIT Press, vol. 99(3), pages 449-464, July.
    10. Guyonne Kalb & Sholeh A. Maani, 2007. "The Importance of Observing Early School Leaving and Usually Unobserved Background and Peer Characteristics in Analysing Academic Performance," Melbourne Institute Working Paper Series wp2007n05, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    11. Hadsell, Lester, 2020. "Not for want of trying: Effort and Success of women in principles of microeconomics," International Review of Economics Education, Elsevier, vol. 35(C).
    12. 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.
    13. Gandil, Mikkel & Leuven, Edwin, 2022. "College admission as a screening and sorting device," Memorandum 2/2022, Oslo University, Department of Economics.
    14. Michelle Rendall & Andrew Rendall, 2013. "Math Matters: Student Ability, College Majors, and Wage Inequality," 2013 Meeting Papers 1196, Society for Economic Dynamics.
    15. A. Abigail Payne & Justin Smith, 2020. "Big Fish, Small Pond: The Effect of Rank at Entry on Postsecondary Outcomes," Southern Economic Journal, John Wiley & Sons, vol. 86(4), pages 1475-1509, April.
    16. 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.
    17. Evgeniya Popova & Marina Sheina, 2017. "Does Studying in a Strong School Guarantee Good College Performance?," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 128-157.
    18. Jesse Rothstein, 2019. "Inequality of Educational Opportunity? Schools as Mediators of the Intergenerational Transmission of Income," Journal of Labor Economics, University of Chicago Press, vol. 37(S1), pages 85-123.
    19. Mario I. Suárez & Alan R Dabney & Hersh C Waxman & Timothy P Scott & Adrienne O Bentz, 2021. "Exploring Factors that Predict STEM Persistence at a Large, Public Research University," International Journal of Higher Education, Sciedu Press, vol. 10(4), pages 161-161, August.
    20. Dur, Robert & Glazer, Amihai, 2008. "Subsidizing Enjoyable Education," Labour Economics, Elsevier, vol. 15(5), pages 1023-1039, October.

    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:ags:aareaj:118315. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaresea.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.