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Technology Use and Worker Outcomes: Direct Evidence from Linked Employee-Employer Data

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  • Adela Luque
  • Javier Miranda

Abstract

We investigate the impact of technology adoption on workers� wages and mobility in U.S. manufacturing plants by constructing and exploiting a unique Linked Employee-Employer data set containing longitudinal worker and plant information. We first examine the effect of technology use on wage determination, and find that technology adoption does not have a significant effect on high-skill workers, but negatively affects the earnings of low-skill workers after controlling for worker-plant fixed effects. This result seems to support the skill-biased technological change hypothesis. We next explore the impact of technology use on worker mobility, and find that mobility rates are higher in high-technology plants, and that high-skill workers are more mobile than their low and medium-skill counterparts. However, our technology-skill interaction term indicates that as the number of adopted technologies increases, the probability of exit of skilled workers decreases while that of unskilled workers increases.

Suggested Citation

  • Adela Luque & Javier Miranda, 2000. "Technology Use and Worker Outcomes: Direct Evidence from Linked Employee-Employer Data," Working Papers 00-13, Center for Economic Studies, U.S. Census Bureau.
    • Handle: RePEc:cen:wpaper:00-13
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    References listed on IDEAS

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    Cited by:

    1. Ethan Lewis, 2005. "Immigration, Skill Mix, and the Choice of Technique," Working Papers 05-04, Center for Economic Studies, U.S. Census Bureau.
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    3. Fredrik Heyman, 2007. "Firm Size or Firm Age? The Effect on Wages Using Matched Employer–Employee Data," LABOUR, CEIS, vol. 21(2), pages 237-263, June.
    4. Adela Luque & C.J. Krizan, 2009. "The Micro-Dynamics of Skill Mix Changes in a Dual Labor Market: The Spanish Manufacturing Experience," Working Papers 09-12, Center for Economic Studies, U.S. Census Bureau.

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