Will automation and robotics lead to more inequality?

Journal article

Elise S. Brezis, Amir Rubin
The Manchester School, John Wiley & Sons Ltd., 2023 Dec 2

DOI: 10.1111/manc.12465

Published article

Cite

APA Click to copy
Brezis, E. S., & Rubin, A. (2023). Will automation and robotics lead to more inequality? The Manchester School. https://doi.org/10.1111/manc.12465

Chicago/Turabian Click to copy
Brezis, Elise S., and Amir Rubin. “Will Automation and Robotics Lead to More Inequality?” The Manchester School (December 2, 2023).

MLA Click to copy
Brezis, Elise S., and Amir Rubin. “Will Automation and Robotics Lead to More Inequality?” The Manchester School, John Wiley & Sons Ltd., Dec. 2023, doi:10.1111/manc.12465.

BibTeX Click to copy

@article{elise2023a,
  title = {Will automation and robotics lead to more inequality?},
  year = {2023},
  month = dec,
  day = {2},
  journal = {The Manchester School},
  publisher = {John Wiley & Sons Ltd.},
  doi = {10.1111/manc.12465},
  author = {Brezis, Elise S. and Rubin, Amir},
  howpublished = {},
  month_numeric = {12}
}

Abstract

This paper presents a new framework for analyzing automation, robotics, and high-tech, which differs from the canonical model of technological progress by incorporating the higher education system. The main difference is that there is not just one type of skilled workers, but two types, and there is not one type of education but two - elite universities and standard ones. The gap between these two types of education is called ‘elitism gap’.

The ‘elitism gap’ in the higher-education sector enables a separation of individuals by their abilities. Since the economy is divided between low-tech and high-tech sectors, the elitism gap leads to a separating equilibrium in which, high-ability workers graduating from top universities work in the high-tech sector, while low-ability workers, graduate from standard universities and work in the low-tech industries. In consequence, human capital in both industries is different, which leads to wage inequality.

We then analyze the effects of an increased use of robotics on inequality. We show that robots affect the “matching effect” between abilities and education, and in consequence, inequality increases. We also show that wages and productivity gaps between high-tech and low-tech sectors are fueled by the elitism gap in higher education. This leads to heterogeneity in human capital, and therefore to an increase in wage inequality. We develop an index of the elitism gap, and show a positive correlation between the index of elitism gap and inequality in OECD countries.

Keywords: ability, duality, higher education, international leadership, productivity, robots, skills, wage premium