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Measuring the Quality of Educational Outputs: A Note

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  • Hilary Steedman
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    Abstract

    This paper contrasts the approach to the measurement of stocks of education that is adopted by growth economists on the one hand and governments wishing to improve economic performance through education on the other. It it pointed out progress to date in demonstrating the link between human capital investment and economic growth for a range of countries world-wide has been disappointing. It is suggested that more precise measurement methods in compiling the datasets used by growth economists might contribute to research in this area. In the same way, the needs of governments monitoring the performance of their own country against those of others require a reformulated approach. To meet the needs of the latter group, data educational qualifications will need to be collected in a more consistent manner in the difference countries and adjustments made to take into account different types of certification. Inconsistancies in the current methods probably lead to a group of countries in which the real outputs are underrstated. A more rigorous and tightly-defined taxonomy should be developed in succession to the ISCED to from the framework for qualitative comparison. Decisions about the allocation of qualifications to a revised framework should be based on agreed measures of quality. Detailed information and qualitative data on inputs to qualifications need to be assembled, scrutined and analysed to permit the construction of such measures.

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    Bibliographic Info

    Paper provided by Centre for Economic Performance, LSE in its series CEP Discussion Papers with number dp0302.

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    Date of creation: Jul 1996
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    Handle: RePEc:cep:cepdps:dp0302

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    Web page: http://cep.lse.ac.uk/_new/publications/series.asp?prog=CEP

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    1. Mankiw, N Gregory & Romer, David & Weil, David N, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, MIT Press, MIT Press, vol. 107(2), pages 407-37, May.
    2. J. Bradford De Long & Lawrence H. Summers, . "Equipment Investment and Economic Growth," J. Bradford De Long's Working Papers _122, University of California at Berkeley, Economics Department.
    3. Rebelo, Sergio, 1991. "Long-Run Policy Analysis and Long-Run Growth," Journal of Political Economy, University of Chicago Press, University of Chicago Press, vol. 99(3), pages 500-521, June.
    4. Sala-i-Martin, X. & Mulligan, C.B., 1995. "Measuring Aggregate Human Capital," Papers, Yale - Economic Growth Center 723, Yale - Economic Growth Center.
    5. Paul M Romer, 1999. "Increasing Returns and Long-Run Growth," Levine's Working Paper Archive 2232, David K. Levine.
    6. Norman Gemmell,, . "Evaluating the Impacts of Human Capital Stocks and Accumulation on Economic Growth: Some New Evidence," Discussion Papers 95/17, University of Nottingham, CREDIT.
    7. Oulton, Nicholas & Young, Garry, 1996. "How High Is the Social Rate of Return to Investment," Oxford Review of Economic Policy, Oxford University Press, vol. 12(2), pages 48-69, Summer.
    8. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
    9. Robert J. Barro & Jong-Wha Lee, 1993. "International Comparisons of Educational Attainment," NBER Working Papers 4349, National Bureau of Economic Research, Inc.
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    Cited by:
    1. ?gel de la Fuente & Rafael Dom?ech, . "Human Capital In Growth Regressions: How Much Difference Does Data Quality Make?," UFAE and IAE Working Papers 446.00, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    2. Angel de la Fuente & Rafael Dom?ech, 2002. "Human capital in growth regressions: how much difference does data quality make? An update and further results," UFAE and IAE Working Papers 537.02, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    3. Nick Adnett, . "Competition in the School Curriculum: the economic and policy context in the UK," Working Papers 001, Staffordshire University, Business School.

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