Extending the Race between Education and Technology
By David H. Autor, Claudia Goldin, Lawrence F. Katz. AEA Papers and Proceedings, 2020
130 citations recorded by the source corpus.
The race between education and technology provides a canonical framework that does a remarkable job of explaining US wage structure changes across the twentieth century. The framework involves secular increases in the demand for more-educated workers from skill-biased technological change, combined with variations in the supply of skills from changes in educational access. We expand the analysis backward and forward. The framework helps explain rising skill differentials in the nineteenth and twenty-first centuries but needs to be augmented to illuminate the recent convexification of education returns and implied slowdown in the growth of the relative demand for college workers.
View Paper: https://www.semanticscholar.org/paper/9678f0c97cc310bec71bb59a5fb225ebca98b21a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- David H. Autor
- B. Seegmiller
- David J. Deming
- A. Salomons
- Caroline Chin
- K. Noray
- Daron Acemoglu
- P. Restrepo
Citations in the corpus
- Earnings Dynamics, Changing Job Skills, and STEM Careers* (2020, background): “This race between education and technology (RBET) framework does a good job of explaining changes in the economic return to different levels of education in the United States over the past century (Goldin and Katz 2008; Autor, Goldin, and Katz 2020).”
- New Frontiers: The Origins and Content of New Work, 1940–2018 (2022, background): “The measures of “eye-hand-foot coordination”, “finger dexterity”, “direction, control and planning”, “sets limits, tolerances, and standards” and “GED math” task content are obtained from Autor et al. (2003). Following Autor and Dorn (2013), “routine” task content averages “set limits, tolerances, a”
- The Labor Market Impacts of Technological Change: From Unbridled Enthusiasm to Qualified Optimism to Vast Uncertainty (2022, background): “…this will mean that labor’s share of national income will decline further, beyond what has already occurred over the last two decades as documented in Autor et al. 2020a, and, concomitantly, the share of national income paid to owners of capital (i.e., machines, robots, algorithms, etc.) will grow.”