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The effect of female and male schooling on economic growth in the Barro-Lee model

Author

Listed:
  • Paula K. Lorgelly

    () (Department of Economics, University of Otago, PO Box 56, Dunedin, New Zealand)

  • P. Dorian Owen

    () (Department of Economics, University of Otago, PO Box 56, Dunedin, New Zealand)

Abstract

Barro and Lee (1994), in an influential empirical study of the determinants of economic growth, find that, whereas growth is positively related to male schooling, it is negatively related to female schooling. Stokey (1994) has suggested that this is largely due to the influence of four Asian countries (Hong Kong, Singapore, Taiwan and Korea) that have very high levels of growth but very low levels of female schooling, and that deleting the female education variable would cast doubt on the statistical significance of the male education variable. Deletion diagnostics and partial scatter plots are analysed to identify influential observations. The sensitivity of the Barro-Lee results to deleting selected countries from the sample and deleting female education from their growth equations is then examined. The results obtained point to the fragile nature of both the significant negative effect of female education and the significant positive effect of male education in the Barro-Lee model.

Suggested Citation

  • Paula K. Lorgelly & P. Dorian Owen, 1999. "The effect of female and male schooling on economic growth in the Barro-Lee model," Empirical Economics, Springer, vol. 24(3), pages 537-557.
  • Handle: RePEc:spr:empeco:v:24:y:1999:i:3:p:537-557
    Note: received: September 1996/Final version received: December 1998
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    Cited by:

    1. Aysit Tansel & Nil Demet Güngör, 2016. "Gender Effects of Education on Economic Development in Turkey," World Scientific Book Chapters,in: Women, Work and Welfare in the Middle East and North Africa The Role of Socio-demographics, Entrepreneurship and Public Policies, chapter 3, pages 57-86 World Scientific Publishing Co. Pte. Ltd..
    2. repec:bla:devpol:v:35:y:2017:i:2:p:263-287 is not listed on IDEAS
    3. Angel de la Fuente & Antonio Ciccone, 2003. "Human capital in a global and knowledge-based economy," UFAE and IAE Working Papers 562.03, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    4. Kaffine, Daniel T. & Davis, Graham A., 2017. "A multi-row deletion diagnostic for influential observations in small-sample regressions," Computational Statistics & Data Analysis, Elsevier, vol. 108(C), pages 133-145.
    5. Niclas Berggren & Mikael Elinder & Henrik Jordahl, 2008. "Trust and growth: a shaky relationship," Empirical Economics, Springer, vol. 35(2), pages 251-274, September.
    6. Romina Kazandjian & Lisa L Kolovich & Kalpana Kochhar & Monique Newiak, 2016. "Gender Equality and Economic Diversification," IMF Working Papers 16/140, International Monetary Fund.
    7. Stephan Klasen & Francesca Lamanna, 2008. "The Impact of Gender Inequality in Education and Employment on Economic Growth in Developing Countries: Updates and Extensions," Ibero America Institute for Econ. Research (IAI) Discussion Papers 175, Ibero-America Institute for Economic Research.
    8. Stephen Knowles, 2005. "Inequality and Economic Growth: The Empirical Relationship Reconsidered in the Light of Comparable Data," Journal of Development Studies, Taylor & Francis Journals, vol. 41(1), pages 135-159.
    9. Himanshu Sekhar, Rout & Prasant Kumar, Panda, 2007. "Gender And Development: Dimensions And Strategies – Introduction And Overview," MPRA Paper 6559, University Library of Munich, Germany.
    10. Thomas Bassetti & Donata Favaro, 2011. "A Growth Model with Gender Inequality in Employment, Human Capital, and Socio-Political Participation," CHILD Working Papers wp14_11, CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY.
    11. Stephan Klasen, 2006. "Pro-Poor Growth and Gender Inequality," Ibero America Institute for Econ. Research (IAI) Discussion Papers 151, Ibero-America Institute for Economic Research.
    12. Abu-Ghaida, Dina & Klasen, Stephan, 2004. "The Costs of Missing the Millennium Development Goal on Gender Equity," World Development, Elsevier, vol. 32(7), pages 1075-1107, July.
    13. Kamakshya Trivedi, 2006. "Educational human capital and levels of income: Evidence from states in India, 1965 - 92," Journal of Development Studies, Taylor & Francis Journals, vol. 42(8), pages 1350-1378.
    14. Radek Szulga, 2014. "A Dynamic Model of Female Labor Force Participation Rate and Human Capital Investment," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 39(3), pages 81-114, September.
    15. Dao, N.T. & Davila, J., 2015. "Gender inequality, technological progress, and the demographic transition," CORE Discussion Papers 2015038, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    16. Baliamoune–Lutz, Mina & McGillivray, Mark, 2015. "The impact of gender inequality in education on income in Africa and the Middle East," Economic Modelling, Elsevier, vol. 47(C), pages 1-11.
    17. Christian Bjørnskov, 2005. "Does Political Ideology Affect Economic Growth?," Public Choice, Springer, vol. 123(1), pages 133-146, April.
    18. Mark Rogers, 2003. "A Survey of Economic Growth," The Economic Record, The Economic Society of Australia, vol. 79(244), pages 112-135, March.
    19. Bjørnskov, Christian, 2004. "Inequality, Tolerance, and Growth," Working Papers 04-8, University of Aarhus, Aarhus School of Business, Department of Economics.

    More about this item

    Keywords

    Male education · female education · economic growth · influential observations;

    JEL classification:

    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • I20 - Health, Education, and Welfare - - Education - - - General

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