Larivière, Jérôme (2025): From Rank to Label: How Early Academic Rank Shapes Educational Diagnoses and Mental Health Outcomes.
Preview |
PDF
MPRA_paper_124861.pdf Download (5MB) | Preview |
Abstract
This study uses rich Canadian census and administrative data to examine the causal ef- fects of early academic ranking on educational diagnoses and long-term mental well-being. Leveraging within-classroom variation among students with similar abilities, I find that mov- ing from the 0–5th to the 10–15th percentile reduces learning disability diagnoses by 34% and mental health conditions by 16%. Conversely, shifting from the 85–90th to the 95–100th percentile increases gifted diagnoses by 27%, showing that teacher perceptions and behaviors are influenced by relative performance. Similar rank variation also lower adult mental health challenges by 12% and boost learning-related self-esteem by 21%.
Item Type: | MPRA Paper |
---|---|
Original Title: | From Rank to Label: How Early Academic Rank Shapes Educational Diagnoses and Mental Health Outcomes |
Language: | English |
Keywords: | Academic Rank; Educational Diagnosis; Rank Effect; Teacher Bias |
Subjects: | I - Health, Education, and Welfare > I2 - Education and Research Institutions > I21 - Analysis of Education I - Health, Education, and Welfare > I2 - Education and Research Institutions > I24 - Education and Inequality J - Labor and Demographic Economics > J2 - Demand and Supply of Labor > J24 - Human Capital ; Skills ; Occupational Choice ; Labor Productivity |
Item ID: | 124861 |
Depositing User: | Jérôme Larivière |
Date Deposited: | 29 May 2025 13:28 |
Last Modified: | 29 May 2025 13:28 |
References: | Booij, A., E. Leuven, and H. Oosterbeek. “Ability peer effects in university: Evidence from a randomized experiment”. Review of Economic Studies 84 (2017): 547–587. Campbell, S., et al. “Matching in the dark? Inequalities in student to degree matches”. Journal of Labour Economics 40, no. 4 (2022). Card, D., et al. “Inequality at work: The effect of peer salaries on job satisfaction”. Journal of Human Resources 102, no. 6 (2021): 2981–3003. Carrell, S., R. Fullerton, and J. West. “Does your cohort matter? Measuring peer effects in college achievement”. Journal of Labor Economics 27 (2009): 439–464. De Giorgi, G., M. Pellizzari, and W. Woolston. “Class size and class heterogeneity”. Journal of the European Economic Association 10, no. 4 (2012): 795–830. Delaney, J., and P. Devereux. “Gender differences in college applications: Aspiration and risk management”. Economics of Education Review 80, no. 102077 (2021). — . “High school rank in math and English and the gender gap in STEM”. Labour Economics 69 (2021). — . “Rank effects in education: What do we know so far?” IZA Discussion Papers, no. 15128 (2023). — . “Understanding gender differences in STEM: Evidence from college applications”. Economics of Education Review 72 (2019): 219–238. Denning, J., R. Murphy, and F. Weinhardt. “Class rank and long-run outcomes”. The Review of Economics and Statistics (2023): 1–16. Education, British Columbia Ministry of. Special Education Services: A Manual of Policies, Procedures and Guidelines. Victoria, BC: BC Ministry of Education, 2016. https://www2. gov.bc.ca/assets/gov/education/administration/kindergarten-to- grade- 12/inclusive/special_ed_policy_manual.pdf%20(accessed% 20June%2017,%202024) Elsner, B., and I. Isphording. “A big fish in a small pond: Ability rank and human capital investment”. Journal of Labor Economics 35, no. 3 (2017): 787–828. — . “Rank, sex, drugs, and crime”. Journal of Human Resources 53, no. 2 (2018): 356–381. Elsner, B., I. Isphording, and U. Zölitz. “Achievement rank affects performance and major choices in college”. Economic Journal 131 (2021): 3182–3206. Feld, J., and U. Zölitz. “Understanding peer effects: On the nature, estimation, and channels of peer effects?” Journal of Labor Economics 35, no. 2 (2017): 387–428. Fenoll, A. “The best in the class”. Economics of Education Review 84, no. 102168 (2021). Goulas, S., S. Griselda, and R. Megalokonomou. “Comparative advantage and gender gap in STEM”. Journal of Human Resources 58, no. 5 (2023). Jones, Lauren, et al. “The Effect of Household Earnings on Child School Mental Health Designations: Evidence from Administrative Data”. Journal of Human Resources 59, no. S (2024):S41–S76. Kiessling, Lukas, and Jonathan Norris. “The long-run effects of peers on mental health”. Economic Journal 133, no. 649 (2023): 281–322. Marsh, H. “The big-fish-little-pond effect on academic self-concept”. Journal of Educational Psychology 79, no. 3 (1987): 280. Murphy, R., and F. Weinhardt. “Top of the class: The importance of ordinal rank”. Review of Economic Studies 87 (2020): 2777–2826. Pagani, L., S. Comi, and F. Origo. “The effect of school rank on personality traits”. Journal of Human Resources 56, no. 4 (2021): 1187–1225. Rivkin, S., E. Hanushek, and J. Kain. “Teachers, schools, and academic achievement”. Econometrica 73 (2005): 417–458. Sacerdote, B. “Peer effects in education: How might they work, how big are they, and how much do we know thus far?” Handbook of the Economics of Education 3 (2011): 249–277. Yu, H. “Am I the big fish? The effect of ordinal rank on student academic performance in middle school”. Journal of Economic Behavior and Organization 176 (2020): 18–41. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/124861 |