Has ICT Polarized Skill Demand? Evidence from Eleven Countries over Twenty-Five Years

By Guy Michaels, Ashwini Natraj, John Van Reenen. Review of Economics and Statistics, 2014

715 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/71d8d7350394f51738769c8b9dc4d1e3d01ea33e

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In Economics and Econometrics

Citations in the corpus

The Growing Importance of Social Skills in the Labor Market (2017, background): “Beginning in the 1990s, the labor market “hollowed out” as computers substituted for labor in middle-skill routine tasks and complemented high-skilled labor, a phenomenon referred to as job polarization (Autor et al. 2003, 2006; Michaels et al. 2014; Goos et al. 2014).”
Automation and the Welfare State: Technological Change as a Determinant of Redistribution Preferences (2019, methodology): “As mentioned above, existing contributions in the labor economics literature illustrate the relationship between automation and wage/job risk for individuals holding routine occupations (Autor et al., 2003; Goos et al., 2014; Michaels et al., 2014; Spitz-Oener, 2006).”
New Frontiers: The Origins and Content of New Work, 1940–2018 (2022, background): “…et al. (2003), Autor et al. (2006), Goos and Manning (2007), Goos et al. (2009), Acemoglu and Autor (2011), Autor and Dorn (2013), Goos et al. (2014) Michaels et al. (2014), Akerman et al. (2015), Arntz et al. (2017), Bárány and Siegel (2018), Dillender and Forsythe (2019), Cortes et al.…”
German Robots - The Impact of Industrial Robots on Workers (2017, neutral): “A large strand of literature has studied the labor market effects of information and communication technology (Autor et al. 2003, Michaels et al. 2014, Akerman et al. 2015).”
The Arrival of Fast Internet and Employment in Africa (2019, background): “Acemoglu & Autor (2011) and Michaels et al. (2014) find that, if three skill levels are considered, ICT technologies substitute most for middle-skill workers in rich countries.”
Benign Effects of Automation: New Evidence from Patent Texts (2018, neutral): “…tasks may increase if complementary to automated machines. tomation such as investment in computer capital (Beaudry, Doms, & Lewis, 2010; Michaels et al., 2014; Akerman et al., 2015; Gaggl & Wright, 2017) or investment in robots (Dauth et al., 2017; Graetz & Michaels, 2018; Acemoglu &…”
Technology and employment: Mass unemployment or job creation? Empirical evidence from European patenting firms (2018, background): “More recently, the debate has shifted the focus on the difference between routine-based and non-routine-based tasks, with the former at risk of cancellation (see, among others, Autor and Dorn, 2009; Cirillo, 2017a; Frey and Osborne, 2017; Goos and Manning, 2007; Michaels et al., 2014).”