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The Impact of High School Curriculum on Confidence, Academic Success, and Mental and Physical Well-Being of University Students

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  • Han Yu
  • Naci Mocan
Abstract
This paper investigates the causal effect of high school curriculum on various student outcomes including academic performance at the university, happiness, physical and mental health, self-confidence, confidence in academic ability, and attitudes towards studying and learning. We exploit a curriculum reform in China, the implementation of which started in 2004. The reform covered all provinces and municipal cities, and was rolled out in different years in different provinces. The new curriculum pivoted away from the old lock-step course structure where all students took the same courses and only those subject that were covered in the national university entrance exam were considered important. In contrast, the new curriculum introduced a course credit system, changed textbooks, and provided flexibility in course selection. It also introduced elective courses and made such courses as arts and physical education mandatory, and a graduation requirement. Using survey data on university students and employing a difference-in-difference approach, we find that the students who were exposed to the new curriculum in high school have better academic performance in university. They are happier, and their physical and mental well-being is better. These students are more likely to have positive attitudes towards themselves and they are more involved in student clubs. They have more confidence in their academic ability, they have more positive attitudes towards studying, and they have more general self-confidence. These results indicate that the reform had a significant impact on students’ academic success and well-being by allowing them to focus on subject matters in which they are interested, and by reducing undue stress of a regimented curriculum.

Suggested Citation

  • Han Yu & Naci Mocan, 2018. "The Impact of High School Curriculum on Confidence, Academic Success, and Mental and Physical Well-Being of University Students," NBER Working Papers 24573, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:24573
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    1. Levine, Phillip B & Zimmerman, David J, 1995. "The Benefit of Additional High-School Math and Science Classes for Young Men and Women," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 137-149, April.
    2. Bernheim, B. Douglas & Garrett, Daniel M. & Maki, Dean M., 2001. "Education and saving:: The long-term effects of high school financial curriculum mandates," Journal of Public Economics, Elsevier, vol. 80(3), pages 435-465, June.
    3. Charles T. Clotfelter & Helen F. Ladd & Jacob L. Vigdor, 2015. "The Aftermath of Accelerating Algebra: Evidence from District Policy Initiatives," Journal of Human Resources, University of Wisconsin Press, vol. 50(1), pages 159-188.
    4. John Cawley & Euna Han & Jiyoon (June) Kim & Edward C. Norton, 2017. "Testing for Peer Effects Using Genetic Data," NBER Working Papers 23719, National Bureau of Economic Research, Inc.
    5. Joseph G. Altonji, 1995. "The Effects of High School Curriculum on Education and Labor Market Outcomes," Journal of Human Resources, University of Wisconsin Press, vol. 30(3), pages 409-438.
    6. Jörn-Steffen Pischke, 2007. "The Impact of Length of the School Year on Student Performance and Earnings: Evidence From the German Short School Years," Economic Journal, Royal Economic Society, vol. 117(523), pages 1216-1242, October.
    7. Davide Cantoni & Yuyu Chen & David Y. Yang & Noam Yuchtman & Y. Jane Zhang, 2017. "Curriculum and Ideology," Journal of Political Economy, University of Chicago Press, vol. 125(2), pages 338-392.
    8. Joseph G. Altonji & Erica Blom & Costas Meghir, 2012. "Heterogeneity in Human Capital Investments: High School Curriculum, College Major, and Careers," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 185-223, July.
    9. Juanna Schrøter Joensen & Helena Skyt Nielsen, 2009. "Is there a Causal Effect of High School Math on Labor Market Outcomes?," Journal of Human Resources, University of Wisconsin Press, vol. 44(1).
    10. Michael J. Kottelenberg & Steven F. Lehrer, 2017. "Targeted or Universal Coverage? Assessing Heterogeneity in the Effects of Universal Child Care," Journal of Labor Economics, University of Chicago Press, vol. 35(3), pages 609-653.
    11. Card, David, 1999. "The causal effect of education on earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863, Elsevier.
    12. Bilge Erten & Pinar Keskin, 2018. "For Better or for Worse?: Education and the Prevalence of Domestic Violence in Turkey," American Economic Journal: Applied Economics, American Economic Association, vol. 10(1), pages 64-105, January.
    13. Shawn Cole & Anna Paulson & Gauri Kartini Shastry, 2016. "High School Curriculum and Financial Outcomes: The Impact of Mandated Personal Finance and Mathematics Courses," Journal of Human Resources, University of Wisconsin Press, vol. 51(3), pages 656-698.
    14. Meghir, Costas & Rivkin, Steven, 2011. "Econometric Methods for Research in Education," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 1, pages 1-87, Elsevier.
    15. Victor Lavy, 2015. "Do Differences in Schools' Instruction Time Explain International Achievement Gaps? Evidence from Developed and Developing Countries," Economic Journal, Royal Economic Society, vol. 125(588), pages 397-424, November.
    16. O. Ashenfelter & D. Card (ed.), 1999. "Handbook of Labor Economics," Handbook of Labor Economics, Elsevier, edition 1, volume 3, number 3.
    17. Anna, Petrenko, 2016. "Мaркування готової продукції як складова частина інформаційного забезпечення маркетингової діяльності підприємств овочепродуктового підкомплексу," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 2(1), March.
    18. Roger B. Newson, 2010. "Frequentist q-values for multiple-test procedures," Stata Journal, StataCorp LP, vol. 10(4), pages 568-584, December.
    19. Davide Cantoni & Yuyu Chen & David Y. Yang & Noam Yuchtman & Y. Jane Zhang, 2017. "Curriculum and Ideology," Journal of Political Economy, University of Chicago Press, vol. 125(2), pages 338-392.
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    More about this item

    JEL classification:

    • H0 - Public Economics - - General
    • I1 - Health, Education, and Welfare - - Health
    • I20 - Health, Education, and Welfare - - Education - - - General
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • J38 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Public Policy

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