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Older and wiser? Relative age and college course failure

Author

Listed:
  • P. Wesley Routon

    (Georgia Gwinnett College)

  • Jay K. Walker

    (Old Dominion University)

Abstract

A student's relative age in their schooling cohort has been shown related to several measures of academic and labor market success. Here, we focus on a singular outcome: the probability of college course failure. Even within a sample constrained to students with traditional academic progression and who completed their college degree program, we find evidence relatively younger students were more likely to fail courses. The estimated impact is larger for males, minorities, and those with less academic success before college. Statistical significance remains constant across the parental income distribution. Students within the sample represent over 600 colleges and universities across the United States. Three different empirical methodologies are used: fixed effects regression, two-stage least squares, and regression discontinuity design. Results have implications for educational policy and provide motivation for further study of the relationship between relative age and collegiate success.

Suggested Citation

  • P. Wesley Routon & Jay K. Walker, 2024. "Older and wiser? Relative age and college course failure," Economics Bulletin, AccessEcon, vol. 44(1), pages 1-10.
    • Handle: RePEc:ebl:ecbull:eb-23-00360
    as

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    References listed on IDEAS

    as
    1. Michael Hurwitz & Jonathan Smith & Jessica S. Howell, 2015. "Student Age and the Collegiate Pathway," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 34(1), pages 59-84, January.
    2. Peña, Pablo A. & Duckworth, Angela L., 2018. "The effects of relative and absolute age in the measurement of grit from 9th to 12th grade," Economics of Education Review, Elsevier, vol. 66(C), pages 183-190.
    3. Sandra E. Black & Paul J. Devereux & Kjell G. Salvanes, 2011. "Too Young to Leave the Nest? The Effects of School Starting Age," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 455-467, May.
    4. Ponzo, Michela & Scoppa, Vincenzo, 2014. "The long-lasting effects of school entry age: Evidence from Italian students," Journal of Policy Modeling, Elsevier, vol. 36(3), pages 578-599.
    5. Patrick J. McEwan & Joseph S. Shapiro, 2008. "The Benefits of Delayed Primary School Enrollment: Discontinuity Estimates Using Exact Birth Dates," Journal of Human Resources, University of Wisconsin Press, vol. 43(1).
    6. Dhuey, Elizabeth & Lipscomb, Stephen, 2010. "Disabled or young? Relative age and special education diagnoses in schools," Economics of Education Review, Elsevier, vol. 29(5), pages 857-872, October.
    7. repec:mpr:mprres:6738 is not listed on IDEAS
    8. Du, Qianqian & Gao, Huasheng & Levi, Maurice D., 2012. "The relative-age effect and career success: Evidence from corporate CEOs," Economics Letters, Elsevier, vol. 117(3), pages 660-662.
    9. P. Wesley Routon & Jay K. Walker, 2023. "(More) Party time in school? Relative age and alcohol consumption," Applied Economics, Taylor & Francis Journals, vol. 55(43), pages 5048-5064, September.
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    JEL classification:

    • I2 - Health, Education, and Welfare - - Education

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