IDEAS home Printed from https://ideas.repec.org/a/prs/rfreco/rfeco_0769-0479_1999_num_14_1_1076.html
   My bibliography  Save this article

Le biais technologique fondements, mesures et tests empiriques

Author

Listed:
  • Khaled Bouabdallah
  • Nathalie Greenan
  • Marie-Claire Villeval

Abstract

[fre] Au cours des années trente, les théoriciens de la croissance ont défini la neutralité du progrès technique en considérant seulement deux facteurs de production homogènes : le travail et le capital. Aujourd'hui, cette notion sert à étudier l'impact des nouvelles technologies sur le changement de la structure de la demande de travail, dans une perspective plutôt micro-économique. Les nouvelles technologies élimineraient du travail non qualifié au profit des salariés les plus formés. Les résultats des études empiriques anglo-saxonnes et françaises sont toutefois peu concordants quant à la responsabilité directe de l'innovation dans la déformation des structures de salaire et d'emploi. Cet article a pour objectif d'analyser les fondements théoriques et méthodologiques de l'évaluation empirique du biais technologique afin d'identifier si ces écarts prennent leur source dans des différences de mesure, de sources statistiques, de niveaux d'observation ou s'ils doivent être rattachés à des spécificités des marchés du travail nationaux. [eng] The neutrality of technical progress has been defined in the 30s in the framework of the macroeconomic analysis of growth and distribution, which considered only two aggregate inputs : labour and capital. Current analyses focus now on the impact of new technologies on the changing structure of labour demand, mainly from a microeconomic perspective. The new information and communication technologies would be biased toward skilled labour. However, the empirical evidence of a direct influence of technical progress on the changing structure of skills and wages in France and the United States is far from being perfectly converging. This paper aims at investigating the theoretical and methodological foundations of the empirical evaluation of technological bias in order to trace whether these discrepancies are due to differences in measures, in data sources, in the level of observation or to the specificity of each national labour market.

Suggested Citation

  • Khaled Bouabdallah & Nathalie Greenan & Marie-Claire Villeval, 1999. "Le biais technologique fondements, mesures et tests empiriques," Revue Française d'Économie, Programme National Persée, vol. 14(1), pages 171-227.
    • Handle: RePEc:prs:rfreco:rfeco_0769-0479_1999_num_14_1_1076
    DOI: 10.3406/rfeco.1999.1076
    Note: DOI:10.3406/rfeco.1999.1076
    as

    Download full text from publisher

    File URL: https://doi.org/10.3406/rfeco.1999.1076
    Download Restriction: no
    File URL: https://www.persee.fr/doc/rfeco_0769-0479_1999_num_14_1_1076
    Download Restriction: no
    File URL: https://libkey.io/10.3406/rfeco.1999.1076?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
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nathalie Greenan & Yannick L’Horty, 2002. "Le paradoxe de la productivité," Documents de recherche 02-02, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    2. Nathalie Greenan & Emmanuelle Walkowiak, 2005. "Informatique, organisation du travail et interactions sociales," Économie et Statistique, Programme National Persée, vol. 387(1), pages 35-63.
    3. Nathalie Greenan & Jacques Mairesse & Agnès Topiol-Bensaid, 2001. "Information Technology and Research and Developement Impacts on Productivity and Skills: Looking for Correlations on French Firm-Level Data," Working Papers hal-02104933, HAL.

    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:prs:rfreco:rfeco_0769-0479_1999_num_14_1_1076. 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: Equipe PERSEE (email available below). General contact details of provider: https://www.persee.fr/collection/rfeco .

    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.