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Knowledge and Job Opportunities in a Gender Perspective: Insights from Italy

Author

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  • Angela Cipollone
  • Marcella Corsi
  • Carlo D'Ippoliti

Abstract

By considering the case of Italy we show that despite much rhetoric and expectations about the fact that women have gradually overcome men in terms of educational attainments, they still lack behind in terms of the main skills and competencies that can profitably be used in the market. On the one hand, women lack both general and specific knowledge related to the labour market, on the other hand the skills and competencies they acquire by carrying on unpaid work do not seem to be positively valued by the market. However, women also appear to exhibit higher returns to knowledge, both in terms of returns to education and of returns to work-related knowledge. Women’s employment is more determined by the joint impact of care burdens and knowledge-determined opportunities, and their wages are more significantly affected by our indicators of knowledge. More than for men, while specialisation improves “insider” women’s wages, it reduces “outsider” women’s ability to obtain a job.

Suggested Citation

  • Angela Cipollone & Marcella Corsi & Carlo D'Ippoliti, 2011. "Knowledge and Job Opportunities in a Gender Perspective: Insights from Italy," DULBEA Working Papers 11-02, ULB -- Universite Libre de Bruxelles.
  • Handle: RePEc:dul:wpaper:2013/97186
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    References listed on IDEAS

    as
    1. Marcella Corsi & Manuela Samek Lodovici, 2013. "Active Ageing and Gender Equality," Working Papers CEB 13-004, ULB -- Universite Libre de Bruxelles.
    2. Annamaria Lusardi & Olivia S. Mitchell, 2008. "Planning and Financial Literacy: How Do Women Fare?," American Economic Review, American Economic Association, vol. 98(2), pages 413-417, May.
    3. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters,in: Schooling, Experience, and Earnings, pages 1-4 National Bureau of Economic Research, Inc.
    4. D’Ippoliti, Carlo, 2011. "Economics And Diversity," Journal of the History of Economic Thought, Cambridge University Press, vol. 33(04), pages 562-564, December.
    5. Becker, Gary S, 1985. "Human Capital, Effort, and the Sexual Division of Labor," Journal of Labor Economics, University of Chicago Press, vol. 3(1), pages 33-58, January.
    6. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    7. Angela Cipollone & Carlo D'Ippoliti, 2010. "Discriminating factors of women's employment," Applied Economics Letters, Taylor & Francis Journals, vol. 17(11), pages 1055-1062.
    8. Claudia Biancotti & Giovanni D'Alessio & Andrea Neri, 2004. "Errori di misura nell�indagine sui bilanci delle famiglie italiane," Temi di discussione (Economic working papers) 520, Bank of Italy, Economic Research and International Relations Area.
    9. Luc SOETE, 2001. "ICTs, knowledge work and employment: The challenges to Europe," International Labour Review, International Labour Organization, vol. 140(2), pages 143-163, June.
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    Cited by:

    1. Stephan Humpert, 2014. "Occupational Sex Segregation and Working Time: Regional Evidence from Germany," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 61(3), pages 317-329, June.

    More about this item

    Keywords

    gender differentials; returns to knowledge; human capital;

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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