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‘Don’t Know Much About History…’: Revisiting the Impact of Curriculum on Subsequent Labour Market Outcomes

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  • Geraint Johnes

Abstract

Regression and neural network models of wage determination are constructed where the explanatory variables include detailed information about the impact of school curricula on future earnings. It is established that there are strong non‐linearities and interaction effects present in the relationship between curriculum and earnings. The results have important implications in the context of the human capital vs. signalling and screening debate. They also throw light on contemporary policy issues concerning the desirability of breadth vs. depth in the school curriculum.

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  • Geraint Johnes, 2005. "‘Don’t Know Much About History…’: Revisiting the Impact of Curriculum on Subsequent Labour Market Outcomes," Bulletin of Economic Research, Wiley Blackwell, vol. 57(3), pages 249-271, July.
    • Handle: RePEc:bla:buecrs:v:57:y:2005:i:3:p:249-271
    DOI: 10.1111/j.0307-3378.2005.01287.x
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    Cited by:

    1. G Johnes, 2005. "Skills and earnings revisited," Working Papers 573993, Lancaster University Management School, Economics Department.
    2. Seah, Kelvin K.C. & Pan, Jessica & Tan, Poh Lin, 2020. "Breadth of university curriculum and labor market outcomes," Labour Economics, Elsevier, vol. 65(C).
    3. Turner, Grant, 2018. "Establishing a comprehensive census of undergraduate economics curricula:Foundational and special requirements for major programs in the U.S," MPRA Paper 103235, University Library of Munich, Germany.
    4. Kristjan-Olari Leping & Ott Toomet, 2007. "Ethnic Wage Gap And Political Break-Ups: Estonia During Political And Economic Transition," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 53, Faculty of Economics and Business Administration, University of Tartu (Estonia).

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