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Persistence and Academic Success in University

Author

Listed:
  • Dooley, Martin D.
  • Payne, A. Abigail
  • Robb, A. Leslie

Abstract

We use a unique set of linked administrative data sets to explore the determinants of persistence and academic success in university. The explanatory power of high school grades greatly dominates that of other variables such as university program, gender, and neighbourhood and high school characteristics. Indeed, high school and neighbourhood characteristics, such as average standardized test scores for a high school or average neighbourhood income, have weak links with success in university.

Suggested Citation

  • Dooley, Martin D. & Payne, A. Abigail & Robb, A. Leslie, 2012. "Persistence and Academic Success in University," CLSSRN working papers clsrn_admin-2012-7, Vancouver School of Economics, revised 19 Feb 2012.
  • Handle: RePEc:ubc:clssrn:clsrn_admin-2012-7
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    File URL: http://www.clsrn.econ.ubc.ca/workingpapers/CLSRN%20Working%20Paper%20no.%2094%20-%20Dooley,%20Payne%20and%20Robb.pdf
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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Individual characteristics are more important for academic success in university
      by Economic Logician in Economic Logic on 2011-10-28 19:14:00
    2. Boys, retention, and multiple regression
      by Nick Rowe in Worthwhile Canadian Initiative on 2013-03-14 19:11:02

    Citations

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    Cited by:

    1. 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.
    2. Alejandro Abarca & Rolando Leiva & Juan Robalino & Milagro Saborio-Rodriguez, 2016. "Diferencias en la permanencia y el desempeño en la educación superior entre estudiantes provenientes de colegios públicas y privadas," Working Papers 201603, Universidad de Costa Rica, revised Jun 2016.
    3. Pedro Luis Silva & Carla Sá & Ricardo Biscaia & Pedro N. Teixeira, 2022. "High school and exam scores: Does their predictive validity for academic performance vary with programme selectivity?," NIPE Working Papers 4/2022, NIPE - Universidade do Minho.
    4. Pedro Luis Silva, 2024. "Specialists or All-Rounders: How Best to Select University Students?," Journal of Human Capital, University of Chicago Press, vol. 18(2), pages 227-271.
    5. Martin D. Dooley & A. Abigail Payne & A. Leslie Robb, 2012. "The impact of cost on the choice of university: evidence from Ontario," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 45(2), pages 755-783, May.
    6. Zwick, Thomas, 2012. "Determinants of individual academic achievement: Group selectivity effects have many dimensions," ZEW Discussion Papers 12-081, ZEW - Leibniz Centre for European Economic Research.
    7. 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.
    8. Felice Martinello, 2015. "Course Withdrawal Dates, Tuition Refunds, and Student Persistence in University Programs," Working Papers 1501, Brock University, Department of Economics, revised Feb 2015.
    9. Meyer, Tobias & Thomsen, Stephan, 2014. "Are 12 Years of Schooling Sufficient for Preparation for Tertiary Education? Evidence from the Reform of Secondary School Duration in Germany," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100305, Verein für Socialpolitik / German Economic Association.
    10. Stephen E. Childs & Ross Finnie & Felice Martinello, 2017. "Postsecondary Student Persistence and Pathways: Evidence From the YITS-A in Canada," Research in Higher Education, Springer;Association for Institutional Research, vol. 58(3), pages 270-294, May.
    11. Pavlos Nikolaidis & Maizatul Ismail & Liyana Shuib & Shakir Khan & Gaurav Dhiman, 2022. "Predicting Student Attrition in Higher Education through the Determinants of Learning Progress: A Structural Equation Modelling Approach," Sustainability, MDPI, vol. 14(20), pages 1-19, October.
    12. Loris P Fagioli & Rachel Baker & Gabe Avakian Orona, 2020. "The Role of Non-cognitive Variables in Identifying Community College Students in Need of Targeted Supports," Research in Higher Education, Springer;Association for Institutional Research, vol. 61(6), pages 725-763, September.

    More about this item

    Keywords

    University Success; High School; Neighbourhood;
    All these keywords.

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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