Replication data for: Why Are There Still So Many Jobs? The History and Future of Workplace Automation
By David H. Autor. 2019
1,118 citations recorded by the source corpus.
Subfields: Industrial and Manufacturing Engineering, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/c03b21517ecb0e740e45c9043533368972bd5bcf
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Industrial and Manufacturing Engineering
- P. Restrepo
- Daron Acemoglu
- Panos Constantinides
- Morgan R. Frank
- Joana Mendonça
- Benjamin Meindl
- Saonee Sarker
- Arun Rai
In Sociology and Political Science
- David H. Autor
- P. Restrepo
- Daron Acemoglu
- Robert C. Seamans
- Enrique Fernández-Macías
- Morgan R. Frank
- Joana Mendonça
- Benjamin Meindl
Citations in the corpus
- The impact of automation on employment: just the usual structural change? (2018, background): “Aptly phrased, Autor [12] states: “Automation does indeed substitute for labor—as it is typically intended to do.”
- How will Language Modelers like ChatGPT Affect Occupations and Industries? (2023, background): “Finally, the article adds to a large literature on the effect of automating technologies on labor (e.g., Acemoglu et al., 2022; Autor, 2015; Frank et al., 2019; Genz et al., 2021).”
- Exposure of occupations to technologies of the fourth industrial revolution (2021, methodology): “However, theory suggests that task content has a higher relevance for predicting automation potential than the skills a machine can perform, as skills do not directly translate into automatable tasks (Acemoglu & Autor, 2011). The SML score is calculated based on task-level indicators, and Brynjolfss”
- Racing with or Against the Machine? Evidence from Europe (2016, neutral): “see Autor and Dorn 2013; Goos and Manning 2007; Goos et al. 2014), there is a shift in employment away from occupations that are more routine towards those that are less routine. The size of this estimate suggests routinereplacing capital prices are declining by some 7.8% per year, on average. For c”
- Digital technologies, innovation, and skills: emerging trajectories and challenges (2021, background): “Skill requirements are changing within and across organizations, industries, and countries and making existing ones redundant or obsolete (Autor, 2015; Autor et al., 2015; Cedefop, 2018).”
- The Labor Market Impacts of Technological Change: From Unbridled Enthusiasm to Qualified Optimism to Vast Uncertainty (2022, background): “The second step is to ask which tasks will be carried out by machines and which by workers.”
- Revisiting the risk of automation (2017, background): “The prevailing view in academic research is that technological advances in the 19th and 20th century did not result in net job losses (Autor 2015).”
- Algorithms at Work: The New Contested Terrain of Control (2020, background): “Although others have addressed the macro-economic changes associated with replacement of jobs by algorithms (e.g., Arntz, Gregory, & Zierahn, 2016; Autor, 2015a, 2015b; Brynjolfsson & McAfee, 2014; Davenport & Kirby, 2016; Ekbia & Nardi, 2017; Elliott, 2014; Frey & Osborne, 2017; Mindell, 2015;…”
- Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks (2020, background): “The explicit focus on AI distinguishes this analysis from studies on robotisation (Acemoglu and Restrepo, 2018), digi-talisation and online platforms ( Agrawal et al., 2015) and the general occupational impact of technological progress (Autor, 2015).”
- AI and Shared Prosperity (2021, background): “For example, [4] surveys a significant body of economic literature that finds that automation in the US has led to a polarization of the labor market, whereby middle-income jobs that used to perform routine tasks were replaced by lower-income jobs, while those at the top of the income distribution e”
- Political machinery: did robots swing the 2016 US presidential election? (2018, background): “Although the causes of this detachment are still being debated, a growing body of work has identified automation as one of the prime forces driving the shifts in income shares along the occupational wage distribution (Autor et al., 2003, 2006; Autor and Dorn, 2013; Graetz and Michaels, 2015; Michael”
- Smart hospitality—Interconnectivity and interoperability towards an ecosystem (2018, background): “However, hotel management needs to balance job security of employees as they may worry that robots and system automation would replace them (Autor, 2015).”