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. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://bibliotheek.ehb.be:2222/en-US/products/dissertations/individuals.shtml.]