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Measuring female discrimination through language: a novel indicator and its effect on production efficiency in Italy

Author

Listed:
  • Massimiliano Agovino
  • Michele Bevilacqua
  • Massimiliano Cerciello

Abstract

Purpose - While the economic literature mostly tackled discrimination looking at labour costs, this work focuses on its relation to labour productivity, arguing that discrimination may worsen the performance of female employees. In this view, it represents a source of allocative inefficiency, which contributes to reducing output. Design/methodology/approach - Female discrimination is both a social and an economic problem. In social terms, consolidated gender stereotypes impose constraints on women’s behaviour, worsening their overall well-being. In economic terms, women face generally worse labour market conditions. Using long-run Italian data spanning from 1861 to 2009, the authors propose a novel measure of female discrimination based on the observed frequency of discriminating epithets. Following social capital theory, the authors distinguish between structural and voluntary discrimination, and use Data Envelopment Analysis for time series data to assess the extent of inefficiency that each component of discrimination induces in the production process. Findings - The results draw the trajectory of female discrimination in Italy and provide evidence in favour of the idea that female discrimination reduces productive efficiency. In particular, the structural component of female discrimination, although less sizeable than the voluntary component, plays a major role, especially in recent years, where more stringent beauty standards fuel looks-based discrimination. Originality/value - The contribution of this work is twofold. First, based on contributions from social sciences different from economics, it proposes a novel theoretical framework that explores the effect of discriminatory language on labour productivity. Second, it introduces a novel and direct measure of female discrimination at the country level, based on the bidirectional link between language and culture. The indicator is easily understood by policymakers and may be used to evaluate the effectiveness of anti-discrimination policies.

Suggested Citation

  • Massimiliano Agovino & Michele Bevilacqua & Massimiliano Cerciello, 2023. "Measuring female discrimination through language: a novel indicator and its effect on production efficiency in Italy," International Journal of Manpower, Emerald Group Publishing Limited, vol. 44(9), pages 128-155, August.
  • Handle: RePEc:eme:ijmpps:ijm-12-2022-0600
    DOI: 10.1108/IJM-12-2022-0600
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    Cited by:

    1. Marco Agustín Arbulú Ballesteros & Benicio Gonzalo Acosta Enriquez & Jose Carlos Montes Ninaquispe & Alberto Luis Pantaleón Santa María & Emma Verónica Ramos Farroñán & Julie Catherine Arbulu C, 2024. "Impact of Gender Discrimination on Women's Skill Development in the Workplace in a Northern Region of Peru – 2023," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 13, March.

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