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Computer Science for All? The Impact of High School Computer Science Courses on College Majors and Earnings

Author

Listed:
  • Liu, Jing

    (University of Texas at Austin)

  • Conrad, Cameron

    (University of Maryland)

  • Blazar, David

    (University of Maryland)

Abstract
This study provides the first causal analysis of the impact of expanding Computer Science (CS) education in U.S. K-12 schools on students' choice of college major and early career outcomes. Utilizing rich longitudinal data from Maryland, we exploit variation from the staggered rollout of CS course offerings across high schools. Our findings suggest that taking a CS course increases students' likelihood of declaring a CS major by 10 percentage points and receiving a CS BA degree by 5 percentage points. Additionally, access to CS coursework raises students' likelihood of being employed and early career earnings. Notably, students who are female, low socioeconomic status, or Black experience larger benefits in terms of CS degree attainment and earnings. However, the lower take-up rates of these groups in CS courses highlight a pressing need for targeted efforts to enhance their participation as policymakers continue to expand CS curricula in K-12 education.

Suggested Citation

  • Liu, Jing & Conrad, Cameron & Blazar, David, 2024. "Computer Science for All? The Impact of High School Computer Science Courses on College Majors and Earnings," IZA Discussion Papers 16758, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp16758
    as

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    File URL: https://docs.iza.org/dp16758.pdf
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    References listed on IDEAS

    as
    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.
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    3. Bottia, Martha Cecilia & Stearns, Elizabeth & Mickelson, Roslyn Arlin & Moller, Stephanie & Valentino, Lauren, 2015. "Growing the roots of STEM majors: Female math and science high school faculty and the participation of students in STEM," Economics of Education Review, Elsevier, vol. 45(C), pages 14-27.
    4. James H. Stock & Motohiro Yogo, 2002. "Testing for Weak Instruments in Linear IV Regression," NBER Technical Working Papers 0284, National Bureau of Economic Research, Inc.
    5. Shaun M. Dougherty, 2018. "The Effect of Career and Technical Education on Human Capital Accumulation: Causal Evidence from Massachusetts," Education Finance and Policy, MIT Press, vol. 13(2), pages 119-148, Spring.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    computer science; STEM; high school curricula; college major choice; earnings;
    All these keywords.

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education

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