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School selectivity, peers, and mental health

Author

Listed:
  • Aline Bütikofer

    (Institute for Fiscal Studies)

  • Rita Ginja

    (Institute for Fiscal Studies and University of Bergen)

  • Fanny Landaud

    (Institute for Fiscal Studies)

  • Katrine Loken

    (Institute for Fiscal Studies and University of Bergen)

Abstract
Although many students suffer from anxiety and depression, and often identify school pressure and concerns about their futures as the main reasons for their worries, little is known about the consequences of a selective school environment on students’ mental health. Using a regression discontinuity analysis in the largest Norwegian cities, we show that eligibility to enroll in a more selective high school increases the probability of enrollment in higher education and decreases the probability of diagnosis or treatment of psychological problems. We provide suggestive evidence that changes in both teacher and peers’ characteristics are likely drivers of these effects.

Suggested Citation

  • Aline Bütikofer & Rita Ginja & Fanny Landaud & Katrine Loken, 2021. "School selectivity, peers, and mental health," IFS Working Papers W21/34, Institute for Fiscal Studies.
    • Handle: RePEc:ifs:ifsewp:21/34
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    References listed on IDEAS

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    1. Joseph P. Romano & Michael Wolf, 2005. "Stepwise Multiple Testing as Formalized Data Snooping," Econometrica, Econometric Society, vol. 73(4), pages 1237-1282, July.
    2. Gabrielle Fack & Julien Grenet & Yinghua He, 2019. "Beyond Truth-Telling: Preference Estimation with Centralized School Choice and College Admissions," American Economic Review, American Economic Association, vol. 109(4), pages 1486-1529, April.
    3. Pedro Carneiro & Emanuela Galasso & Rita Ginja, 2019. "Tackling Social Exclusion: Evidence from Chile," The Economic Journal, Royal Economic Society, vol. 129(617), pages 172-208.
    4. Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik, 2014. "Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs," Econometrica, Econometric Society, vol. 82, pages 2295-2326, November.
    5. Douglas Almond & Janet Currie & Valentina Duque, 2018. "Childhood Circumstances and Adult Outcomes: Act II," Journal of Economic Literature, American Economic Association, vol. 56(4), pages 1360-1446, December.
    6. Atila Abdulkadiroğlu & Joshua D. Angrist & Yusuke Narita & Parag A. Pathak, 2017. "Research Design Meets Market Design: Using Centralized Assignment for Impact Evaluation," Econometrica, Econometric Society, vol. 85, pages 1373-1432, September.
    7. Fanny Landaud & Son Thierry Ly & Éric Maurin, 2020. "Competitive Schools and the Gender Gap in the Choice of Field of Study," Journal of Human Resources, University of Wisconsin Press, vol. 55(1), pages 278-308.
    8. Gabrielle Fack & Julien Grenet & Yinghua He, 2019. "Beyond Truth-Telling: Preference Estimation with Centralized School Choice and College Admissions," American Economic Review, American Economic Association, vol. 109(4), pages 1486-1529, April.
    9. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2011. "Inference on Treatment Effects After Selection Amongst High-Dimensional Controls," Papers 1201.0224, arXiv.org, revised May 2012.
    10. Damon Clark & Heather Royer, 2013. "The Effect of Education on Adult Mortality and Health: Evidence from Britain," American Economic Review, American Economic Association, vol. 103(6), pages 2087-2120, October.
    11. Bruce E. Hansen, 2000. "Sample Splitting and Threshold Estimation," Econometrica, Econometric Society, vol. 68(3), pages 575-604, May.
    12. Lundborg, Petter & Nilsson, Anton & Rooth, Dan-Olof, 2014. "Adolescent health and adult labor market outcomes," Journal of Health Economics, Elsevier, vol. 37(C), pages 25-40.
    13. Atila Abdulkadiroğlu & Joshua Angrist & Parag Pathak, 2014. "The Elite Illusion: Achievement Effects at Boston and New York Exam Schools," Econometrica, Econometric Society, vol. 82(1), pages 137-196, January.
    14. Adriana Lleras-Muney, 2005. "The Relationship Between Education and Adult Mortality in the United States," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(1), pages 189-221.
    15. Janet Currie & Mark Stabile & Phongsack Manivong & Leslie L. Roos, 2010. "Child Health and Young Adult Outcomes," Journal of Human Resources, University of Wisconsin Press, vol. 45(3).
    16. Costas Meghir & Mårten Palme & Emilia Simeonova, 2018. "Education and Mortality: Evidence from a Social Experiment," American Economic Journal: Applied Economics, American Economic Association, vol. 10(2), pages 234-256, April.
    17. Bahadır Dursun & Resul Cesur, 2016. "Transforming lives: the impact of compulsory schooling on hope and happiness," Journal of Population Economics, Springer;European Society for Population Economics, vol. 29(3), pages 911-956, July.
    18. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-209, January.
    19. David Card & Alexandre Mas & Jesse Rothstein, 2008. "Tipping and the Dynamics of Segregation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(1), pages 177-218.
    20. Fletcher, Jason M. & Frisvold, David E., 2011. "College selectivity and young adult health behaviors," Economics of Education Review, Elsevier, vol. 30(5), pages 826-837, October.
    21. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    22. Jackson, C. Kirabo, 2013. "Can higher-achieving peers explain the benefits to attending selective schools? Evidence from Trinidad and Tobago," Journal of Public Economics, Elsevier, vol. 108(C), pages 63-77.
    23. Julie Berry Cullen & Brian A Jacob & Steven Levitt, 2006. "The Effect of School Choice on Participants: Evidence from Randomized Lotteries," Econometrica, Econometric Society, vol. 74(5), pages 1191-1230, September.
    24. Jason Fletcher & David Frisvold, 2014. "The long run health returns to college quality," Review of Economics of the Household, Springer, vol. 12(2), pages 295-325, June.
    25. Will Dobbie & Roland G. Fryer Jr., 2014. "The Impact of Attending a School with High-Achieving Peers: Evidence from the New York City Exam Schools," American Economic Journal: Applied Economics, American Economic Association, vol. 6(3), pages 58-75, July.
    26. Frisvold, David & Golberstein, Ezra, 2011. "School quality and the education–health relationship: Evidence from Blacks in segregated schools," Journal of Health Economics, Elsevier, vol. 30(6), pages 1232-1245.
    27. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    28. Crespo, Laura & López-Noval, Borja & Mira, Pedro, 2014. "Compulsory schooling, education, depression and memory: New evidence from SHARELIFE," Economics of Education Review, Elsevier, vol. 43(C), pages 36-46.
    29. Cristian Pop-Eleches & Miguel Urquiola, 2013. "Going to a Better School: Effects and Behavioral Responses," American Economic Review, American Economic Association, vol. 103(4), pages 1289-1324, June.
    30. Damon Clark & Emilia Del Bono, 2016. "The Long-Run Effects of Attending an Elite School: Evidence from the United Kingdom," American Economic Journal: Applied Economics, American Economic Association, vol. 8(1), pages 150-176, January.
    31. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2013. "Supplementary Appendix for "Inference on Treatment Effects After Selection Amongst High-Dimensional Controls"," Papers 1305.6099, arXiv.org, revised Jun 2013.
    32. Porter, Jack & Yu, Ping, 2015. "Regression discontinuity designs with unknown discontinuity points: Testing and estimation," Journal of Econometrics, Elsevier, vol. 189(1), pages 132-147.
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    Cited by:

    1. Getik, Demid & Meier, Armando N., 2022. "Peer gender and mental health⁎," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 643-659.
    2. Michelle Acampora & Francesco Capozza & Vahid Moghani, 2022. "Mental Health Literacy, Beliefs and Demand for Mental Health Support among University Students," Tinbergen Institute Discussion Papers 22-079/I, Tinbergen Institute.
    3. Sarah Cattan & Kjell Salvanes & Emma Tominey, 2022. "First Generation Elite: The Role of School Networks," Working Papers 2022-028, Human Capital and Economic Opportunity Working Group.
    4. Tiina Kuuppelomäki, 2021. "School selectivity and mental health: Evidence from regression discontinuity design," Working Papers 333, Työn ja talouden tutkimus LABORE, The Labour Institute for Economic Research LABORE.
    5. Abrahamsson, Sara, 2024. "Smartphone Bans, Student Outcomes and Mental Health," Discussion Paper Series in Economics 1/2024, Norwegian School of Economics, Department of Economics.

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    More about this item

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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