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Innovation, automation, and inequality: Policy challenges in the race against the machine

Year: 2019

Type: article

Abstract: The effects of automation on economic growth, education, and inequality are analyzed using an R&D-driven growth model with endogenous education in which high-skilled workers are complements to machines and low-skilled workers are substitutes for machines. The model predicts that automation leads to an increasing share of college graduates, increasing income and wealth inequality, and a declining labor share. We show that standard policy suggestions for the age of automation can trigger unintended side effects on inequality, growth, and welfare, irrespective of whether they are financed by progressive wage taxation or by a robot tax.

Source: Journal of Monetary Economics

DOI: 10.1016/j.jmoneco.2019.10.012

Authors: Klaus Prettner, Holger Strulik

Institutions: University of Hohenheim, University of Göttingen

Language: English

Topic: Labor market dynamics and wage inequality

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

SDGs: Reduced inequalities, Decent work and economic growth

Open Access status: hybrid

Estimated APC paid: $1,800