Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

No cookies to display.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.

No cookies to display.

The Skill-Specific Automatability of Aging Workers and Retirement Decisions

By Zeewan Lee

Much of the discourse on the impact of automation on labor supply tends to assess the labor force as a whole, thereby disregarding the marginal effect on aging workers. In lights of the growing technological changes, we assess the linkage between the automatability of workers and retirement timing. Based on the theoretical model of task-based technological changes and drawing data from the Health and Retirement Study and O*NET, we create an Automatability Index based on workers’ primary skills. Using the Index as our main explanatory variable, we find that the automatability accelerates retirement and shortens the duration of individuals’ working lives, both in terms of the expected and the actual retirement timing. The financial mediators and the psychological mediators are not shown to modify the strength of the association between the degree of automatability and retirement.

Source: SSRN

411 views