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Evidence on new technologies and wage inequality in France

Author

Listed:
  • Eva Moreno-Galbis

    (UM - Le Mans Université)

  • François-Charles Wolff

    (LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - IEMN-IAE Nantes - Institut d'Économie et de Management de Nantes - Institut d'Administration des Entreprises - Nantes - UN - Université de Nantes)

Abstract

Using individual data from the French Labor Force Survey and the Complementary Survey on Working Conditions for 1998, we analyze earnings inequalities along the wage distribution between workers using novel technologies (ICT) at their job and those not using them. We estimate quantile regressions with technological dummies and carry out a decomposition analysis, both at the aggregate level and by occupations. At the aggregate level, most of the wage gap between both populations is explained by the divergence in their labor characteristics. In jobs where ICT are not very diffused, the technological premium is larger than in jobs characterized by a large presence of novel technologies. Whereas in the former type of jobs, the technological premium is mainly justified by a divergence in the labor market characteristics between ICT users and non users, in positions characterized by a wide presence of novel technologies the technological premium responds rather to a divergence in the returns to identical characteristics.

Suggested Citation

  • Eva Moreno-Galbis & François-Charles Wolff, 2009. "Evidence on new technologies and wage inequality in France," Post-Print hal-00582231, HAL.
    • Handle: RePEc:hal:journl:hal-00582231
    DOI: 10.1080/00036840802600004
    Note: View the original document on HAL open archive server: https://hal.science/hal-00582231
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    References listed on IDEAS

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    Cited by:

    1. Mathias Silva, 2016. "TIC y Desigualdad Salarial en Uruguay," Documentos de Investigación Estudiantil (students working papers) 16-06, Instituto de Economía - IECON.
    2. Vinod Mishra & Russell Smyth, 2014. "Technological Change and Wages in China: Evidence from Matched Employer–Employee Data," Review of Development Economics, Wiley Blackwell, vol. 18(1), pages 123-138, February.
    3. Hansa Jain, 2018. "Technological Change, Skill Supply and Wage Distribution: Comparison of High-Technology and Low-Technology Industries in India," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 61(2), pages 299-320, June.

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