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A Theory-Based Measure of the Output of the Education Sector

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Abstract

The paper estimates the output of the Norwegian higher education sector based on a modification of the methodology introduced by Jorgenson and Fraumeni (JF) (1989). JF measure output in the education sector by the increase in the total discounted lifetime income that can be attributed to the education "produced" in a given year. As opposed to JF, our output measure excludes the value of non-market labour activities. We provide a theoretical rationale for this modification of the JF-methodology, which has a great negative impact on the output estimates. Our baseline estimate of value added in the Norwegian higher education sector is still more than 8 times higher than the corresponding figure in the Norwegian National Accounts (NA). Replacing the standard NA figures by our estimate raises the share of higher education in GDP from 1.0 to 7.3 percent.

Suggested Citation

  • Astrid Oline Ervik & Erling Holmøy & Torbjørn Hægeland, 2003. "A Theory-Based Measure of the Output of the Education Sector," Discussion Papers 353, Statistics Norway, Research Department.
  • Handle: RePEc:ssb:dispap:353
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    References listed on IDEAS

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    1. Dale W. Jorgenson & Barbara M. Fraumeni, 1992. "The Output of the Education Sector," NBER Chapters, in: Output Measurement in the Service Sectors, pages 303-341, National Bureau of Economic Research, Inc.
    2. O. Ashenfelter & D. Card (ed.), 1999. "Handbook of Labor Economics," Handbook of Labor Economics, Elsevier, edition 1, volume 3, number 3.
    3. Card, David, 1999. "The causal effect of education on earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863, Elsevier.
    4. repec:bla:scandj:v:94:y:1992:i:0:p:s51-70 is not listed on IDEAS
    5. Sofia Ahlroth & Anders Björklund & Anders Forslund, 1997. "The Output Of The Swedish Education Sector," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 43(1), pages 89-104, March.
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    Cited by:

    1. Laverde, Henry, 2015. "Analysis of human capital by means of a prospective method: A study for Latin America," MPRA Paper 81633, University Library of Munich, Germany, revised Jul 2017.
    2. Carol Corrado & Mary O'Mahony & Lea Samek, 2020. "Measuring education services using lifetime incomes," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2020-02, Economic Statistics Centre of Excellence (ESCoE).
    3. Gang Liu, 2015. "A stylized satellite account for human capital," Discussion Papers 816, Statistics Norway, Research Department.
    4. Michael S. Christian, 2011. "Human Capital Accounting in the United States: Context, Measurement, and Application," BEA Working Papers 0073, Bureau of Economic Analysis.
    5. Michael S. Christian, 2014. "Human Capital Accounting in the United States: Context, Measurement, and Application," NBER Chapters, in: Measuring Economic Sustainability and Progress, pages 461-491, National Bureau of Economic Research, Inc.
    6. Gang Liu, 2014. "Measuring the Stock of Human Capital for International and Intertemporal Comparisons," NBER Chapters, in: Measuring Economic Sustainability and Progress, pages 493-544, National Bureau of Economic Research, Inc.

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    Keywords

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    JEL classification:

    • H11 - Public Economics - - Structure and Scope of Government - - - Structure and Scope of Government
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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