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The Effects of Education and Health on Wages and Productivity

Author

Listed:
  • Forbes, Matthew

    (Productivity Commission)

  • Barker, Andrew

    (Productivity Commission)

  • Turner, Stewart

    (Productivity Commission)

Abstract

This Productivity Commission staff working paper (by Matthew Forbes, Andrew Barker and Stewart Turner) was released March 2010. Human capital theory supports the view that people with higher levels of education and lower incidences of chronic illness should have higher labour productivity. Hourly wages can be used as an indicator of labour productivity. While wages are likely to be a reasonable indicator of the effects of education on labour productivity, statistical issues and the way that labour markets function in practice mean that using wages as an indicator could lead to results that under- or overstate the negative effects of ill health on labour productivity. In this paper, higher levels of education are estimated to be associated with significantly higher wages. A second objective of this paper is to estimate the potential productivity of people who are not employed or not in the labour force. These people tend to have characteristics that are systematically different to people who are employed. For example, they tend to have less education and work experience, and also to be in worse health. Because of this, they are more likely to be targeted by government programs. The views expressed in this paper are those of the staff involved and do not necessarily reflect those of the Productivity Commission.

Suggested Citation

  • Forbes, Matthew & Barker, Andrew & Turner, Stewart, 2010. "The Effects of Education and Health on Wages and Productivity," Staff Working Papers 101, Productivity Commission, Government of Australia.
  • Handle: RePEc:ris:prodsw:2010_001
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    File URL: http://www.pc.gov.au/__data/assets/pdf_file/0009/95778/education-health-effects-wages.pdf
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    File URL: http://www.pc.gov.au/research/staffworkingpaper/education-health-effects-wages
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    References listed on IDEAS

    as
    1. Robert Jäckle & Oliver Himmler, 2010. "Health and Wages: Panel Data Estimates Considering Selection and Endogeneity," Journal of Human Resources, University of Wisconsin Press, vol. 45(2).
    2. Richard Frank & Paul Gertler, 1991. "An Assessment of Measurement Error Bias for Estimating the Effect of Mental Distress on Income," Journal of Human Resources, University of Wisconsin Press, vol. 26(1), pages 154-164.
    3. John Creedy & Alan S. Duncan, 2000. "Wage Functions for Demographic Groups in Australia," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 4(4), pages 296-316, December.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

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    2. Adina Titei, 2020. "Measuring the Future Potential of a Country in Terms of Human Capital," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 551-554, December.
    3. Amalia Cristescu & Maria Denisa Vasilescu & Larisa Stanila & Madalina Ecaterina Popescu, 2013. "Regional Analysis Of The Real Earnings In Romania," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 7(2), pages 58-78, DECEMBER.
    4. Marta Pascual-Saez & David Cantarero-Prieto & Noelia González-Prieto, 2016. "Opening the black box of under-health people: the case of Spain," Health Economics Review, Springer, vol. 6(1), pages 1-6, December.
    5. Adolfo Meisel-Roca & Hernando Vargas-Herrera (ed.), 2018. "Ensayos sobre crecimiento económico en Colombia," Books, Banco de la Republica de Colombia, number 2018-06, December.
    6. Paul A. Scuffham & Nerina Vecchio & Harvey A. Whiteford, 2014. "Exploring the Validity of HPQ-Based Presenteeism Measures to Estimate Productivity Losses in the Health and Education Sectors," Medical Decision Making, , vol. 34(1), pages 127-137, January.
    7. Emilia Herman & Maria-Ana Georgescu, 2012. "Is there a trade-off between employment and labour productivity in new EU member states?," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 15(45), pages 303-318, December.
    8. Ana María Iregui-Bohórquez & Ligia Alba Melo-Becerra & María Teresa Ramírez-Giraldo, 2016. "Health status and labor force participation: evidence for urban low and middle income individuals in Colombia," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 15(1), pages 33-55, April.
    9. Ana María Iregui-Bohórquez & Ligia Alba Melo-Becerra & María Teresa Ramírez-Giraldo, 2015. "Estado de salud y participación laboral: Evidencia para Colombia," Borradores de Economia 851, Banco de la Republica de Colombia.
    10. Josue Mbonigaba & Akinola Gbenga Wilfred, 2019. "Productivity effects of human capital: an empirical investigation of health and higher education in South Africa," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 37(1), pages 277-301.
    11. Irina Kinchin & Christopher M. Doran, 2018. "The Cost of Youth Suicide in Australia," IJERPH, MDPI, vol. 15(4), pages 1-11, April.
    12. Marconi, Gabriele, 2015. "Give it time: Education affects economic growth in the long term," MPRA Paper 87601, University Library of Munich, Germany, revised 14 Oct 2016.
    13. Kabir Dasgupta & Alexander Plum, 2022. "Skills, Economic Crises and the Labour Market," Working Papers 2022-01, Auckland University of Technology, Department of Economics.

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    More about this item

    Keywords

    education; health; wages; labour productivity; human capital;
    All these keywords.

    JEL classification:

    • I00 - Health, Education, and Welfare - - General - - - General
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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