IDEAS home Printed from https://ideas.repec.org/a/vrs/izajdm/v14y2023i1p54n8.html
   My bibliography  Save this article

Technology, routinization and wage inequality: gender differences in the case of Uruguay

Author

Listed:
  • López Sandra Rodríguez
  • Sanroman Graciela

    (Universidad de la República, Department of Economics)

Abstract

Technology has changed the way we work, creating and destroying employment but especially modifying the occupational tasks we 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 address this question from the task-based approach perspective. We use the recentered influence function regression decomposition method to analyze men and women wages and the gender wage gap over the period 2005–2015. Our estimates suggest that introducing occupational tasks linked to technology into the analysis contributes to explain changes in the wage distribution as well as in the gender wage gap. Contrary to the routinization hypothesis predictions we find that technology has an overall equalizing effect but, it pushes up the gender wage gap among private employees except at the very top of the wage distribution.

Suggested Citation

  • López Sandra Rodríguez & Sanroman Graciela, 2023. "Technology, routinization and wage inequality: gender differences in the case of Uruguay," IZA Journal of Development and Migration, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 14(1), pages 1-54, January.
  • Handle: RePEc:vrs:izajdm:v:14:y:2023:i:1:p:54:n:8
    DOI: 10.2478/izajodm-2023-0008
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/izajodm-2023-0008
    Download Restriction: no

    File URL: https://libkey.io/10.2478/izajodm-2023-0008?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    Occupational Tasks; RIF-Regressions; Technology; Wage Inequality; Gender Wage Gap; J3; J5; J16; J31;
    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
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:izajdm:v:14:y:2023:i:1:p:54:n:8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.