The history of technological anxiety and the future of economic growth: Is this time different?

By Joel Mokyr, Chris Vickers, Nicolas L. Ziebarth. 2015

619 citations recorded by the source corpus.

Subfields: Demography, Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/253480690c1cbb7fd921fc88086d3bdc85581b44

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Citations in the corpus

Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks (2020, background): “The societal perception of innovation and technological progress has always been ambiguous (Mokyr et al., 2015).”
The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis (2016, methodology): “With this approach, Pajarinen and Rouvinen (2014) estimate the share of jobs that are susceptible to automation to be around 35% in Finland while Brzeski and Burk (2015) estimate the share of jobs at risk of automation to be as high as 59% in Germany.”
The pre-Great Recession slowdown in productivity (2015, background): “In terms of the third, Mokyr et al. (2015) point to gains in research efficiency and Fernald and Jones (2014) point to the increasingly global nature of innovation spending.”
The impact of automation on employment: just the usual structural change? (2018, background): “In the past, industrial revolutions triggered structural transformations, which, after recovering from initial technological unemployment, have brought mankind merely frictional unemployment, and prosperity rather than poverty, and it remains to be seen whether it is different this time [19].”
Racing with or Against the Machine? Evidence from Europe (2016, neutral): “In recent years, there has been a revival of public concerns about technological change destroying jobs (Autor 2015; Mokyr et al. 2015; Nordhaus 2015), in part fueled by reports claiming that large shares of U.S. and European jobs are at risk of automation in coming decades as digital technologies…”
Algorithms at Work: The New Contested Terrain of Control (2020, neutral): “…Autor, 2015a, 2015b; Brynjolfsson & McAfee, 2014; Davenport & Kirby, 2016; Ekbia & Nardi, 2017; Elliott, 2014; Frey & Osborne, 2017; Mindell, 2015; Mokyr, Vickers, & Ziebarth, 2015; Sachs & Kotlikoff, 2012; Shestakofsky, 2017), we examine algorithmic replacement at the workplace level with a…”
The future of skills: employment in 2030 (2017, background): “Historically, over optimism about potential of new technology has sat alongside fears about impacts on jobs • Perennial fears about impact of technology, particularly automation, on employment (especially in times of economic stagnation) (Mokyr et al., 2015).”
Exposure of occupations to technologies of the fourth industrial revolution (2021, background): “However, technological change has various effects on the labor market, and previous waves of automation did not result in long-lasting technology-induced rising unemployment (Mokyr et al., 2015; Autor, 2015; Bessen, 2019).”