Seminar in Macroeconomics I

VortragsspracheEnglisch

Digitalization, AI, and the Future Economy

Description

Automation, digitalization, and artificial intelligence are profoundly changing our economy. This seminar employs the tools of economics — theoretical modeling, quantitative modeling, and econometrics—to try to understand these changes and to foretell how the economy will operate in the coming decades. What’s the future of work given the computerization of many tasks? How will the production process change and what are the implications for wages, interest rates, and growth? Will income and wealth inequality rise further? Should we be concerned about the direction of technological progress and the potential harms of AI? If so, what can policymakers do about it? It will be an integral part of the seminar meetings to discuss among the group of students selected aspects of these questions and the answers proposed in the research papers of the reading list. Each student will then, in his or her seminar paper, dive deeper into one of these topics and provide a critical perspective.

 

Modality

Your tasks consist of (i) presenting a paper on one of the topics and (ii) writing a seminar paper connecting to further articles in the scientific literature while displaying your critical thinking.
    The kick-off meeting will take place online (details will be provided in due course) on Tuesday, April 18, from 14:00 to 15:30. The allocation of the topics will be according to your stated preferences and announced during the kick-off meeting. Presentations will take place online across two days, on Monday, June 19, and Tuesday, June 20.
    The language of this seminar is English, which applies to presentations, discussions, and seminar papers.
    Prerequisites: Basic statistics, Intro to Microeconomics and Macroeconomics.  

 

Topics

  • The Future of Work
    • T1: Anton Korinek and Megan Juelfs. (2022). "Preparing for the (Non-Existent?) Future of Work.'' Working Paper (prepared for The Oxford Handbook of AI Governance).
    • T2: Carl Benedikt Frey and Michael A. Osborne. (2017). "The Future of Employment: How Susceptible Are Jobs to Computerisation?'' Technological Forecasting & Social Change 114 (2017): 254–280.
  • Production in the Digital Age
    • T3: Seth G. Benzell, Erik Brynjolfsson and Guillaume Saint-Jaques. (2022). "Digital Abundance Meets Scarce Architects: Implications for Wages, Interest Rates, and Growth.'' Working Paper.
    • T4: Daron Acemoglu, and Pascual Restrepo. (2018). "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment.'' American Economic Review. 
  • The Future of Inequality
    • T5: Daron Acemoglu and Pascual Restrepo. (2022). "Tasks, Automation, and the Rise in U.S. Wage Inequality.'' Econometrica.
    • T6: Benjamin Moll, Lukasz Rachel and Pascual Restrepo. (2022). "Uneven Growth: Automation's Impact on Income and Wealth Inequality.'' Econometrica.
    • T7: Daron Acemoglu and Jonas Loebbing. (2022). "Automation and Polarization.'' Working Paper.
  • Regulating Technological Progress?
    • T8: Anton Korinek and Joseph E. Stiglitz. (2020). "Steering Technological Progress.'' Working Paper.
    • T9: Daron Acemoglu. (2021). "Harms of AI.'' Working Paper (prepared for The Oxford Handbook of AI Governance).