see IZA DP No. 7068 for a substantially updated version
After a decade in which wages and employment fell precipitously in low-skill occupations and expanded in high-skill occupations, the shape of U.S. earnings and job growth sharply polarized in the 1990s. Employment shares and relative earnings rose in both low and high-skill jobs, leading to a distinct U-shaped relationship between skill levels and employment and wage growth. This paper analyzes the sources of the changing shape of the lower-tail of the U.S. wage and employment distributions. A first contribution is to document a hitherto unknown fact: the twisting of the lower tail is substantially accounted for by a single proximate cause − rising employment and wages in low-education, in-person service occupations. We study the determinants of this rise at the level of local labor markets over the period of 1950 through 2005. Our approach is rooted in a model of changing task specialization in which "routine" clerical and production tasks are displaced by automation. We find that in labor markets that were initially specialized in routine-intensive occupations, employment and wages polarized after 1980, with growing employment and earnings in both high-skill occupations and low-skill service jobs.
We use cookies to provide you with an optimal website experience. This includes cookies that are necessary for the operation of the site as well as cookies that are only used for anonymous statistical purposes, for comfort settings or to display personalized content. You can decide for yourself which categories you want to allow. Please note that based on your settings, you may not be able to use all of the site's functions.
Cookie settings
These necessary cookies are required to activate the core functionality of the website. An opt-out from these technologies is not available.
In order to further improve our offer and our website, we collect anonymous data for statistics and analyses. With the help of these cookies we can, for example, determine the number of visitors and the effect of certain pages on our website and optimize our content.