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Technology, routinization and wage inequality: Difference between men and women in the case of Uruguay

Author

Listed:
  • Sandra Rodríguez-López

    (Universidad de la República (Uruguay). Facultad de Ciencias Económicas y de Administración. Instituto de Economí­a)

  • Graciela Sanroman

    (Universidad de la República (Uruguay). Facultad de Ciencias Sociales)

Abstract

Technology has changed the way we work, creating and destroying employment but especially modifying the occupational tasks we must perform. This paper seeks to analyze the contribution of technology to changes in the distribution of wages in Uruguay and its differences between genders. We adress this question for the perspective of the task-based approach. We use the recentered influence function regression (RIF-Regression) decomposition method and apply it to men and women wage data for the period 2005-2015. Our estimates suggest that introducing occupational tasks linked to technology into the analysis contributes to explane changes in the distribution of wages in Uruguay during the period of the analysis. However, technology played a different role in explaining the evolution of men and women wages. While it was relativily more important to explain the reduction in wage inequality at the top end of the distribution of men wages it was more relevant to explain changes at the lower end of the dsistribution of women wages. Althought, nor men neither women wages did polarized during the period of analysis, we find that the predicted effect of the routinization hypothesis seems to be more in line with the impact of technology over the evolution of women wages.

Suggested Citation

  • Sandra Rodríguez-López & Graciela Sanroman, 2019. "Technology, routinization and wage inequality: Difference between men and women in the case of Uruguay," Documentos de Trabajo (working papers) 19-14, Instituto de Economía - IECON.
    • Handle: RePEc:ulr:wpaper:dt-14-19
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    File URL: https://hdl.handle.net/20.500.12008/23044
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    More about this item

    Keywords

    occupational tasks; RIF-regressions; technology; weage inequality; Gender inequaliy;
    All these keywords.

    JEL classification:

    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs
    • J5 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining

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