RFBerlin Masterclass

“Tasks At Work: Comparative Advantage, Technology and Labor Demand” by Fredric Kong

Time: 09:00 Thursday 12 Mar 2026 – 16:30 Friday 13 Mar 2026

Location: Location: Gormannstrasse 22, 10119 Berlin

We are continuing the RFBerlin Masterclass Series, based on the Handbook of Labour Economics. In this series we invite contributed authors of handbook chapters to Berlin for in-depth, two-day teaching sessions.
This time, we are happy to welcome Fredric Kong (Massachusetts Institute of Technology) for the next masterclass in the series.

Fredric Kong is a PhD Candidate in the Department of Economics with research interests in political economy. He previously completed the Master of Applied Science in Data, Economics, and Development Policy (DEDP) at MIT at the age of 18 and later continued at MIT as an Advanced Study Fellow. His work explores questions at the intersection of politics, institutions, and economic outcomes.

“Tasks At Work: Comparative Advantage, Technology and Labor Demand”
by Daron Acemoglu, Fredric Kong, Pascual Restrepo

This chapter reviews recent advances in the task model and shows how this framework can be put to work to understand trends in the labor market in recent decades. Production in each industry requires the completion of various tasks that can be assigned to workers with different skills or to capital. Factors of production have well-defined comparative advantage across tasks, which governs substitution patterns. Technological change can: (1) augment a specific labor type – e.g., increase the productivity of labor in tasks it is already performing; (2) augment capital; (3) automate work by enabling capital to perform tasks previously allocated to labor; (4) create new tasks. The task model clarifies that these different technologies have distinct effects on labor demand, factor shares, and productivity and their full impact depends on the substitution patterns between workers that arise endogenously in the task framework. We explore the implications of the task framework using reduced-form evidence, highlighting the central role of automation and new tasks in recent labor market trends. We also explain how the general equilibrium effects ignored in these reduced-form approaches can be estimated structurally.

Event Details:

12 March 2026
Two morning classes (~60m each)
Two afternoon classes (~60m each)

13 March 2026
Two morning classes (~60m each)

The final schedule and additional information will be shared with successful applicants closer to the event.

Application Process:

Call Opens: 6 January 2026
Application Deadline: 24 January 2026
Decision Notification: 5 February – subject to adjustment based on the volume of applications received.

Participation is free, but travel and accommodation costs are not covered. Applications are open to PhD students, postdoctoral researchers, and early-career academics.

If you have any questions or need further information, feel free to contact us using the form or email us at [email protected]

We look forward to welcoming you to Berlin and sharing this experience with you.