Wage effects of changes in the task composition of the workforce from 1980 to 2015

UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
Joshua K. Gorsuch (Creator)
The University of North Carolina at Greensboro (UNCG )
Web Site: http://library.uncg.edu/
Dora Gicheva

Abstract: I explain changes in the wage structure favoring more skilled workers since 1980 using job task data from the Occupational Information Network and wage data from the March CPS. Using recently developed partialling out estimators including debiased machine learning, I obtain wage effects for a suite of tasks, including a novel computer task category, by education-experience group and year. I interpret these effects as shadow prices and use trends in these effects to determine bias in technical change over the period. I find that changes in these wage effects are supportive of technical change biased towards nonroutine analytic and communication tasks, but not of a general bias towards nonroutine task categories.

Additional Information

Language: English
Date: 2021
DML, Smoothly Varying Coefficients, Task-based model of wages
Labor economics $z United States
Wage differentials $z United States
Technological innovations $x Economic aspects $z United States

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