The “task approach” to labor markets: an overview

By David H. Autor. Journal for labour market research, 2013

540 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Health Professions, Public Administration

View Paper: https://www.semanticscholar.org/paper/b1f4100dbec999e74d6b4bbc3e65d6d97ae2f85e

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Citations in the corpus

Work of the Past, Work of the Future (2019, unknown): “Tempering these conclusions, Autor and Salomons (2019) find that new Census occupational titles—as defined by Lin—are themselves strongly polarized among skill categories.”
Racing with or Against the Machine? Evidence from Europe (2016, unknown): “This partially mirrors the theoretical results in Autor and Dorn (2013) and Goos et al. (2014), who show that the effect of RRTC on relative employment in routine jobs depends on the relative sizes of, on the one hand, the production elasticity of substitution between computer capital and routine la”
Technical Change and the Relative Demand for Skilled Labor: The United States in Historical Perspective (2013, unknown): “ Task‐based models demonstrate that technical change need not be uniformly skill‐biased but rather can be complementary with skills in some tasks while substituting for skills in other tasks (e.g., Autor, Katz, and Kearney 2006; Acemoglu and Autor 2010, 2012; Autor and Dorn 2012; Autor 2013).”
Do Green Jobs Differ from Non-Green Jobs in Terms of Skills and Human Capital? (2016, background): “From a conceptual viewpoint it allows for flexible interpretations of the relation between labour and capital, which is especially suited when technology plays a dual role, partly complementing and partly substituting human work (Autor, 2013).”
The Labor Market Impacts of Technological Change: From Unbridled Enthusiasm to Qualified Optimism to Vast Uncertainty (2022, background): “…valuable because it provides an analytic tool for rigorously studying the interactions between human and machine capabilities in accomplishing work (Acemoglu and Restrepo, 2018a; Autor, 2013) — though it makes fewer crisp predictions about what tasks are likely to be automated in the years ahead.”
Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy (2019, unknown): “…has remained nar-rowly focused on the question of skills and whether human and AI are substitutes or complements on the labour market (Acemoglu, Autor, Dorn, Hanson, & Price, 2014; Autor, 2013; Brynjolfsson & Hitt, 2000; Frey & Osborne, 2017; Genz, Lehmer, & Janser, 2018; Katz & Margo, 2013).”
The Future of Work in the ‘Sharing Economy’. Market Efficiency and Equitable Opportunities or Unfair Precarisation? (2016, unknown): “Using the tasks taxonomy developed within the literature on the ‘routine-biased technical change’ hypothesis (Autor, 2013; Autor & Dorn, 2013; Autor, et al., 2003), has”
The Rise of the Machines: Automation, Horizontal Innovation, and Income Inequality (2014, unknown): “Autor, Katz and Krueger (1998) and Autor, Levy and Murnane (2003) use cross-sectional data to demonstrate that computerization is associated with relative shifts in demand favoring college educated workers.”
The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis (2016, methodology): “In particular, these tasks are no longer confined to routine tasks as has been the assumption of most studies in labour economics in the past decade (see Acemoglu and Autor, 2011, and Autor, 2013, for reviews of the literature).”
Polanyi's Paradox and the Shape of Employment Growth (2014, unknown): “ Significantly, mastery of “middle 41 This discussion draws on Autor (2013), with some passages quoted directly.”