Minimum wages in an automating economy
Marcel Steffen Eckardt
Journal of Public Economic Theory, 2022, vol. 24, issue 1, 58-91
Abstract:
We explore the suitability of the minimum wage as a policy instrument for reducing emerging income inequality created by new technologies. For this, we implement a binding minimum wage in a task‐based framework, in which tasks are conducted by machines, low‐skill, and high‐skill workers. In this framework, an increasing minimum wage reduces the inequality between the low‐skill wage and the other factor prices, whereas the share of income of low‐skill workers in the national income is nonincreasing. Then, we analyze the impact of an automating economy along the extensive and intensive margins. In a setting with a minimum wage, it can be shown that automation at the extensive margin and the creation of new, labor‐intensive tasks do not increase the aggregate output in general, as the displacement of low‐skill workers counteracts the positive effects of cost‐savings. Finally, we highlight a potential trade‐off between less inequality of the factor prices and greater inequality of the income distribution when a minimum wage is introduced into an automating economy.
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://doi.org/10.1111/jpet.12528
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:jpbect:v:24:y:2022:i:1:p:58-91
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=1097-3923
Access Statistics for this article
Journal of Public Economic Theory is currently edited by Rabah Amir, Gareth Myles and Myrna Wooders
More articles in Journal of Public Economic Theory from Association for Public Economic Theory Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().