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The Labor of Division: Returns to Compulsory High School Math Coursework

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  • Joshua Goodman
Abstract
Despite great focus on and public investment in STEM education, little causal evidence connects quantitative coursework to students? economic outcomes. I show that state changes in minimum high school math requirements substantially increase black students? completed math coursework and their later earnings. The marginal student?s return to an additional math course is 10 percent, roughly half the return to a year of high school, and is partly explained by a shift toward more cognitively skilled occupations. Whites? coursework and earnings are unaffected. Rigorous standards for quantitative coursework can close meaningful portions of racial gaps in economic outcomes.

Suggested Citation

  • Joshua Goodman, 2017. "The Labor of Division: Returns to Compulsory High School Math Coursework," Working Paper 95966, Harvard University OpenScholar.
    • Handle: RePEc:qsh:wpaper:95966
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    File URL: http://scholar.harvard.edu/joshuagoodman/node/95966
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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. Paul Beaudry & David A. Green & Benjamin M. Sand, 2016. "The Great Reversal in the Demand for Skill and Cognitive Tasks," Journal of Labor Economics, University of Chicago Press, vol. 34(S1), pages 199-247.
    3. Lars J. Kirkeboen & Edwin Leuven & Magne Mogstad, 2016. "Editor's Choice Field of Study, Earnings, and Self-Selection," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(3), pages 1057-1111.
    4. Lawrence F. Katz & Kevin M. Murphy, 1992. "Changes in Relative Wages, 1963–1987: Supply and Demand Factors," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(1), pages 35-78.
    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. Philip Oreopoulos, 2006. "Estimating Average and Local Average Treatment Effects of Education when Compulsory Schooling Laws Really Matter," American Economic Review, American Economic Association, vol. 96(1), pages 152-175, March.
    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. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    9. Paco Martorell & Isaac McFarlin, 2011. "Help or Hindrance? The Effects of College Remediation on Academic and Labor Market Outcomes," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 436-454, May.
    10. 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.
    11. Lars Kirkebøen & Edwin Leuven & Magne Mogstad, 2014. "Field of Study, Earnings, and Self-Selection," NBER Working Papers 20816, National Bureau of Economic Research, Inc.
    12. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    13. Paul J. Devereux & Robert A. Hart, 2010. "Forced to be Rich? Returns to Compulsory Schooling in Britain," Economic Journal, Royal Economic Society, vol. 120(549), pages 1345-1364, December.
    14. 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).
    15. Melvin Stephens Jr. & Dou-Yan Yang, 2014. "Compulsory Education and the Benefits of Schooling," American Economic Review, American Economic Association, vol. 104(6), pages 1777-1792, June.
    16. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    17. Gonzalo Castex & Evgenia Kogan Dechter, 2014. "The Changing Roles of Education and Ability in Wage Determination," Journal of Labor Economics, University of Chicago Press, vol. 32(4), pages 685-710.
    18. 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.
    19. Heckman, James J. & Lochner, Lance J. & Todd, Petra E., 2006. "Earnings Functions, Rates of Return and Treatment Effects: The Mincer Equation and Beyond," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 1, chapter 7, pages 307-458, Elsevier.
    20. David J. Deming, 2017. "The Growing Importance of Social Skills in the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1593-1640.
    21. Daron Acemoglu & Joshua Angrist, 2001. "How Large Are Human Capital Externalities? Evidence from Compulsory Schooling Laws," NBER Chapters, in: NBER Macroeconomics Annual 2000, Volume 15, pages 9-74, National Bureau of Economic Research, Inc.
    22. David H. Autor & Michael J. Handel, 2013. "Putting Tasks to the Test: Human Capital, Job Tasks, and Wages," Journal of Labor Economics, University of Chicago Press, vol. 31(S1), pages 59-96.
    23. Fryer Jr., Roland G., 2011. "Racial Inequality in the 21st Century: The Declining Significance of Discrimination," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 10, pages 855-971, Elsevier.
    24. 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.
    25. C. Kirabo Jackson, 2014. "Do College-Preparatory Programs Improve Long-Term Outcomes?," Economic Inquiry, Western Economic Association International, vol. 52(1), pages 72-99, January.
    26. Judith Scott-Clayton & Olga Rodriguez, 2014. "Development, Discouragement, or Diversion? New Evidence on the Effects of College Remediation Policy," Education Finance and Policy, MIT Press, vol. 10(1), pages 4-45, November.
    27. Seth D. Zimmerman, 2014. "The Returns to College Admission for Academically Marginal Students," Journal of Labor Economics, University of Chicago Press, vol. 32(4), pages 711-754.
    28. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    29. Card, David, 2001. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," Econometrica, Econometric Society, vol. 69(5), pages 1127-1160, September.
    30. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    31. Neal, Derek A & Johnson, William R, 1996. "The Role of Premarket Factors in Black-White Wage Differences," Journal of Political Economy, University of Chicago Press, vol. 104(5), pages 869-895, October.
    32. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    33. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    34. Mark Hoekstra, 2009. "The Effect of Attending the Flagship State University on Earnings: A Discontinuity-Based Approach," The Review of Economics and Statistics, MIT Press, vol. 91(4), pages 717-724, November.
    35. Taylor, Eric, 2014. "Spending more of the school day in math class: Evidence from a regression discontinuity in middle school," Journal of Public Economics, Elsevier, vol. 117(C), pages 162-181.
    36. 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.
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    More about this item

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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