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STEM graduates and secondary school curriculum: does early exposure to science matter?

Author

Listed:
  • Marta De Philippis

    (Bank of Italy)

Abstract
This paper focuses on students at the very top of the ability distribution and explores whether strengthening high school science curricula affects their choice of enrolling in and completing a Science, Technology, Engineering and Maths (STEM) degree at university. The paper solves the standard endogeneity problems by exploiting the different timing in the implementation of a reform that encouraged secondary schools in the UK to offer more science to high ability 14- year-olds. Taking five more hours per week of science in secondary school increases the probability of enrolling in a STEM degree by 1.2 percentage points and the probability of graduating in these degrees by 3 percentage points. The results mask substantial gender heterogeneity: while girls are as willing as boys to take advanced science in secondary school - when offered -, the results on pure STEM degrees at university are entirely driven by boys. Girls are encouraged to choose more challenging subjects, but still opt for the most female-dominated ones.

Suggested Citation

  • Marta De Philippis, 2017. "STEM graduates and secondary school curriculum: does early exposure to science matter?," Temi di discussione (Economic working papers) 1107, Bank of Italy, Economic Research and International Relations Area.
    • Handle: RePEc:bdi:wptemi:td_1107_17
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    1. Justine S. Hastings & Christopher A. Neilson & Seth D. Zimmerman, 2013. "Are Some Degrees Worth More than Others? Evidence from college admission cutoffs in Chile," NBER Working Papers 19241, National Bureau of Economic Research, Inc.
    2. Fricke, Hans & Grogger, Jeffrey & Steinmayr, Andreas, 2015. "Does Exposure to Economics Bring New Majors to the Field? Evidence from a Natural Experiment," IZA Discussion Papers 9003, Institute of Labor Economics (IZA).
    3. Glenn Ellison & Ashley Swanson, 2012. "Heterogeneity in High Math Achievement Across Schools: Evidence from the American Mathematics Competitions," NBER Working Papers 18277, National Bureau of Economic Research, Inc.
    4. Basit Zafar, 2013. "College Major Choice and the Gender Gap," Journal of Human Resources, University of Wisconsin Press, vol. 48(3), pages 545-595.
    5. 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.
    6. Scott E. Carrell & Marianne E. Page & James E. West, 2010. "Sex and Science: How Professor Gender Perpetuates the Gender Gap," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(3), pages 1101-1144.
    7. Cortes, Kalena E. & Goodman, Joshua Samuel & Nomi, Takako, 2015. "Intensive Math Instruction and Educational Attainment," Scholarly Articles 34298862, Harvard Kennedy School of Government.
    8. Katja Görlitz & Christina Gravert, 2018. "The effects of a high school curriculum reform on university enrollment and the choice of college major," Education Economics, Taylor & Francis Journals, vol. 26(3), pages 321-336, May.
    9. Muriel Niederle & Lise Vesterlund, 2010. "Explaining the Gender Gap in Math Test Scores: The Role of Competition," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 129-144, Spring.
    10. Arcidiacono, Peter & Hotz, V. Joseph & Kang, Songman, 2012. "Modeling college major choices using elicited measures of expectations and counterfactuals," Journal of Econometrics, Elsevier, vol. 166(1), pages 3-16.
    11. Ralph Stinebrickner & Todd R. Stinebrickner, 2014. "A Major in Science? Initial Beliefs and Final Outcomes for College Major and Dropout," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(1), pages 426-472.
    12. Kalena E. Cortes & Joshua S. Goodman & Takako Nomi, 2015. "Intensive Math Instruction and Educational Attainment: Long-Run Impacts of Double-Dose Algebra," Journal of Human Resources, University of Wisconsin Press, vol. 50(1), pages 108-158.
    13. Koedel, Cory & Tyhurst, Eric, 2012. "Math skills and labor-market outcomes: Evidence from a resume-based field experiment," Economics of Education Review, Elsevier, vol. 31(1), pages 131-140.
    14. Peter Arcidiacono & Esteban M. Aucejo & V. Joseph Hotz, 2016. "University Differences in the Graduation of Minorities in STEM Fields: Evidence from California," American Economic Review, American Economic Association, vol. 106(3), pages 525-562, March.
    15. Josh Kinsler & Ronni Pavan, 2015. "The Specificity of General Human Capital: Evidence from College Major Choice," Journal of Labor Economics, University of Chicago Press, vol. 33(4), pages 933-972.
    16. Goodman, Joshua Samuel, 2012. "The Labor of Division: Returns to Compulsory Math Coursework," Scholarly Articles 9403178, Harvard Kennedy School of Government.
    17. Massimo Anelli & Giovanni Peri, 2015. "Peers’ Composition Effects in the Short and in the Long Run: College Major, College Performance and Income," Working Papers 078, "Carlo F. Dondena" Centre for Research on Social Dynamics (DONDENA), Università Commerciale Luigi Bocconi.
    18. Caroline Hoxby, 2000. "Peer Effects in the Classroom: Learning from Gender and Race Variation," NBER Working Papers 7867, National Bureau of Economic Research, Inc.
    19. 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).
    20. 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.
    21. Juanna Schrøter Joensen & Helena Skyt Nielsen, 2016. "Mathematics and Gender: Heterogeneity in Causes and Consequences," Economic Journal, Royal Economic Society, vol. 126(593), pages 1129-1163, June.
    22. Magali Beffy & Denis Fougère & Arnaud Maurel, 2012. "Choosing the Field of Study in Postsecondary Education: Do Expected Earnings Matter?," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 334-347, February.
    23. Matthew Wiswall & Basit Zafar, 2016. "Preference for the Workplace, Human Capital, and Gender," NBER Working Papers 22173, National Bureau of Economic Research, Inc.
    24. Joseph G. Altonji & Peter Arcidiacono & Arnaud Maurel, 2015. "The Analysis of Field Choice in College and Graduate School: Determinants and Wage Effects," NBER Working Papers 21655, National Bureau of Economic Research, Inc.
    25. Matthew Wiswall & Basit Zafar, 2015. "Determinants of College Major Choice: Identification using an Information Experiment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(2), pages 791-824.
    26. Giacomo De Giorgi & Michele Pellizzari & Silvia Redaelli, 2010. "Identification of Social Interactions through Partially Overlapping Peer Groups," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 241-275, April.
    27. 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.
    28. Claudia Goldin, 2014. "A Grand Gender Convergence: Its Last Chapter," American Economic Review, American Economic Association, vol. 104(4), pages 1091-1119, April.
    29. Machin, Stephen & McNally, Sandra, 2008. "The literacy hour," Journal of Public Economics, Elsevier, vol. 92(5-6), pages 1441-1462, June.
    30. Arcidiacono, Peter, 2004. "Ability sorting and the returns to college major," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 343-375.
    31. Giovanni Peri & Kevin Shih & Chad Sparber, 2016. "STEM Workers, H-1B Visas, and Productivity in US Cities," World Scientific Book Chapters, in: The Economics of International Migration, chapter 9, pages 277-307, World Scientific Publishing Co. Pte. Ltd..
    32. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    33. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    34. Winters, John V., 2014. "Foreign and Native-Born STEM Graduates and Innovation Intensity in the United States," IZA Discussion Papers 8575, Institute of Labor Economics (IZA).
    35. Altonji, J.G. & Arcidiacono, P. & Maurel, A., 2016. "The Analysis of Field Choice in College and Graduate School," Handbook of the Economics of Education,, Elsevier.
    36. Stephen V. Cameron & James J. Heckman, 2001. "The Dynamics of Educational Attainment for Black, Hispanic, and White Males," Journal of Political Economy, University of Chicago Press, vol. 109(3), pages 455-499, June.
    37. David H. Autor, 2003. "Outsourcing at Will: The Contribution of Unjust Dismissal Doctrine to the Growth of Employment Outsourcing," Journal of Labor Economics, University of Chicago Press, vol. 21(1), pages 1-42, January.
    38. James, Estelle, et al, 1989. "College Quality and Future Earnings: Where Should You Send Your Child to College?," American Economic Review, American Economic Association, vol. 79(2), pages 247-252, May.
    39. Heather Rose & Julian R. Betts, 2004. "The Effect of High School Courses on Earnings," The Review of Economics and Statistics, MIT Press, vol. 86(2), pages 497-513, May.
    40. Ahu Gemici & Matthew Wiswall, 2014. "Evolution Of Gender Differences In Post‐Secondary Human Capital Investments: College Majors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55, pages 23-56, February.
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    Citations

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    Cited by:

    1. Delaney, Judith M. & Devereux, Paul J., 2019. "It's Not Just for Boys! Understanding Gender Differences in STEM," IZA Discussion Papers 12176, Institute of Labor Economics (IZA).
    2. Delaney, Judith M. & Devereux, Paul J., 2021. "Gender and Educational Achievement: Stylized Facts and Causal Evidence," IZA Discussion Papers 14074, Institute of Labor Economics (IZA).
    3. Mcnally, Sandra, 2020. "Gender differences in tertiary education: what explains STEM participation," LSE Research Online Documents on Economics 108232, London School of Economics and Political Science, LSE Library.
    4. Black, Sandra E. & Muller, Chandra & Spitz-Oener, Alexandra & He, Ziwei & Hung, Koit & Warren, John Robert, 2021. "The importance of STEM: High school knowledge, skills and occupations in an era of growing inequality," Research Policy, Elsevier, vol. 50(7).
    5. Chise Diana & Fort Margherita & Monfardini Chiara, 2021. "On the Intergenerational Transmission of STEM Education among Graduate Students," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 21(1), pages 115-145, January.
    6. Shulamit Kahn & Donna Ginther, 2017. "Women and STEM," NBER Working Papers 23525, National Bureau of Economic Research, Inc.
    7. Biewen, Martin & Schwerter, Jakob, 2019. "Does More Math in High School Increase the Share of Female STEM Workers? Evidence from a Curriculum Reform," IZA Discussion Papers 12236, Institute of Labor Economics (IZA).
    8. Graziella Bertocchi & Luca Bonacini & Marina Murat, 2023. "Adams and Eves: High school math and the gender gap in Economics majors," Economic Inquiry, Western Economic Association International, vol. 61(4), pages 798-817, October.
    9. D. Chise & M. Fort & C. Monfardini, 2019. "Scientifico! like Dad: On the Intergenerational Transmission of STEM Education in Italy," Working Papers wp1138, Dipartimento Scienze Economiche, Universita' di Bologna.
    10. Delaney, Judith M. & Devereux, Paul J., 2019. "Understanding gender differences in STEM: Evidence from college applications✰," Economics of Education Review, Elsevier, vol. 72(C), pages 219-238.
    11. Devereux, Paul J. & Delaney, Judith, 2019. "Understanding Gender Differences in STEM: Evidence from College Applications," CEPR Discussion Papers 13558, C.E.P.R. Discussion Papers.
    12. Diana Chise & Margherita Fort & Chiara Monfardini, 2020. "Scientifico! like Dad: On the Intergenerational Transmission of STEM Education," FBK-IRVAPP Working Papers 2020-01, Research Institute for the Evaluation of Public Policies (IRVAPP), Bruno Kessler Foundation.

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    More about this item

    Keywords

    STEM; high school curriculum; field of study; gender bias;
    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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