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

Adela Luque and Javier Miranda

Working Papers from U.S. Census Bureau, Center for Economic Studies

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.

Keywords: CES; economic; research; micro; data; microdata; chief; economist (search for similar items in EconPapers)
Date: 2000-08
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:cen:wpaper:00-13

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