IDEAS home Printed from https://ideas.repec.org/p/ake/iiepdt/202047.html

Automatización y Empleo en Uruguay

Author

Listed:
  • Diego Aboal

    (Centro de Investigaciones Económicas)

  • Andrés López

    (Instituto Interdisciplinario de Economía Política de Buenos Aires - UBA - CONICET)

  • Roxana Maurizio

    (Instituto Interdisciplinario de Economía Política de Buenos Aires - UBA - CONICET)

  • María Paz Queraltó

    (Centro de Investigaciones Económicas)

  • Emiliano Tealde

    (Centro de Investigaciones Económicas)

Abstract

El presente trabajo revisa la evidencia disponible sobre la relación cambio tecnológico y empleo a nivel internacional y desarrolla una serie de ejercicios cuantitativos y cualitativos para el caso uruguayo a fin de evaluar los impactos de la automatización de tareas sobre el empleo. La evidencia disponible hasta el momento no permite concluir nada firme respecto de la preeminencia de los efectos escala o sustitución. Sin embargo, sí parece muy claro que ha venido ocurriendo un desplazamiento en el tipo de habilidades y calificaciones requeridas a medida que se despliegan los procesos de cambio tecnológico. No solo hay un pasaje de las habilidades físicas y manuales a las cognitivas, acompañado de un creciente requerimiento de credenciales educativas superiores, sino también, al menos en ciertos casos, una mayor demanda de habilidades socio-emocionales.

Suggested Citation

  • Diego Aboal & Andrés López & Roxana Maurizio & María Paz Queraltó & Emiliano Tealde, 2019. "Automatización y Empleo en Uruguay," Documentos de trabajo del Instituto Interdisciplinario de Economía Política IIEP (UBA-CONICET) 2020-47, Universidad de Buenos Aires, Facultad de Ciencias Económicas, Instituto Interdisciplinario de Economía Política IIEP (UBA-CONICET).
  • Handle: RePEc:ake:iiepdt:202047
    as

    Download full text from publisher

    File URL: https://ojs.economicas.uba.ar/DT-IIEP/article/view/2438/3186
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ake:iiepdt:202047. 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: IIEP UBA-CONICET (email available below). General contact details of provider: https://edirc.repec.org/data/ieeubar.html .

    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.