IDEAS home Printed from https://ideas.repec.org/p/wbk/wbrwps/8326.html
   My bibliography  Save this paper

Digital technology adoption and jobs : a model of firm heterogeneity

Author

Listed:
  • Brambilla,Irene

Abstract

This paper develops a theoretical framework that expands the task-based models of technical progress and labor markets to allow for firm heterogeneity and wages that vary across firms. The model is compatible with the empirical observation that more productive firms are larger, are more skill intensive, and pay higher wages across skill categories. The model predicts that the decision to invest in information and communications technology depends on firm size and labor market characteristics. As a result of investment in information and communications technology firms grow, become more intensive in complex tasks, become more skilled intensive, and employ more skilled workers as long as skilled labor is complementary to information and communications technology. Employment of unskilled workers increases as well, provided that firm output growth is sufficiently high to overcome the negative substitution effect. Workers who remain employed are better off because their wage increases with information and communications technology. To the extent that skilled workers have more bargaining power than unskilled workers, or that their wage scheme is more tied to firm performance, wage inequality at the firm level increases with information and communications technology.

Suggested Citation

  • Brambilla,Irene, 2018. "Digital technology adoption and jobs : a model of firm heterogeneity," Policy Research Working Paper Series 8326, The World Bank.
  • Handle: RePEc:wbk:wbrwps:8326
    as

    Download full text from publisher

    File URL: http://documents.worldbank.org/curated/en/217701517406450447/pdf/WPS8326.pdf
    Download Restriction: no
    ---><---

    More about this item

    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:wbk:wbrwps:8326. 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: Roula I. Yazigi (email available below). General contact details of provider: https://edirc.repec.org/data/dvewbus.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.