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Valuing Student Competencies: Which Ones Predict Postsecondary Educational Attainment and Earnings, and for Whom?

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  • John Deke
  • Joshua Haimson

Abstract

This report examines how indicators of academic and nonacademic competencies are related to postsecondary educational and labor market outcomes.

Suggested Citation

  • John Deke & Joshua Haimson, "undated". "Valuing Student Competencies: Which Ones Predict Postsecondary Educational Attainment and Earnings, and for Whom?," Mathematica Policy Research Reports be1c67f2201f4640b7381c0fa, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:be1c67f2201f4640b7381c0fad20cb15
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    File URL: https://www.mathematica.org/-/media/publications/pdfs/valuestudent.pdf
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    References listed on IDEAS

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    1. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    2. Kuhn, Peter J. & Weinberger, Catherine, 2002. "Leadership Skills and Wages," IZA Discussion Papers 482, Institute of Labor Economics (IZA).
    3. James J. Heckman & Jora Stixrud & Sergio Urzua, 2006. "The Effects of Cognitive and Noncognitive Abilities on Labor Market Outcomes and Social Behavior," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 411-482, July.
    4. Janet Currie & Duncan Thomas, 1999. "Early Test Scores, Socioeconomic Status and Future Outcomes," NBER Working Papers 6943, National Bureau of Economic Research, Inc.
    5. Yona Rubinstein & James J. Heckman, 2001. "The Importance of Noncognitive Skills: Lessons from the GED Testing Program," American Economic Review, American Economic Association, vol. 91(2), pages 145-149, May.
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    Cited by:

    1. Elke Lüdemann, 2011. "Schooling and the Formation of Cognitive and Non-cognitive Outcomes," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 39.
    2. Trivitt, Julie & Cheng, Albert, 2016. "When you say nothing at all: The predictive power of student effort on surveysAuthor-Name: Hitt, Collin," Economics of Education Review, Elsevier, vol. 52(C), pages 105-119.
    3. Filippin, Antonio & Paccagnella, Marco, 2012. "Family background, self-confidence and economic outcomes," Economics of Education Review, Elsevier, vol. 31(5), pages 824-834.
    4. Haeck, Catherine & Lefebvre, Pierre & Merrigan, Philip, 2014. "The distributional impacts of a universal school reform on mathematical achievements: A natural experiment from Canada," Economics of Education Review, Elsevier, vol. 41(C), pages 137-160.
    5. Eckhardt Bode & Lucia Perez Villar, 2017. "Creativity, education or what? On the measurement of regional human capital," Papers in Regional Science, Wiley Blackwell, vol. 96, pages 51-67, March.
    6. Mareckova, Jana & Pohlmeier, Winfried, 2017. "Noncognitive Skills and Labor Market Outcomes: A Machine Learning Approach," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168195, Verein für Socialpolitik / German Economic Association.
    7. Catherine Haeck & Pierre Lefebvre & Philip Merrigan, 2011. "The Distributional Impacts of a Universal School Reform on Mathematical Achievements: a Natural Experiment from Canada (revised)," Cahiers de recherche 1135, CIRPEE.
    8. Thomas Dee & Martin West, 2008. "The Non-Cognitive Returns to Class Size," NBER Working Papers 13994, National Bureau of Economic Research, Inc.
    9. Bahram Sanginabadi, 2020. "Does Schooling Causally Impact Non-Cognitive Skills? Evidence from Elimination of Social Security Student Benefits," Economies, MDPI, vol. 8(1), pages 1-27, January.

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