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2nd International Workshop
Machine Learning in Labor, Education, and Health Economics

Call for Papers

The Institute of Employment Research (IAB), the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), and the Labour and Socio-Economic Research Center (LASER) are pleased to announce a 2nd workshop on machine learning in economics.

So far, economic research has mainly relied on traditional econometric methods. Empirical research in economics typically focuses on the unbiased estimation of causal effects. In contrast, statistics and computer science place more value on prediction (especially out-of-sample) and data-driven selection of models and variables. Rather few studies apply these methods in empirical economic research yet, but their importance is growing. This holds in particular with the increasing availability of big data for economic research.

The two-day workshop seeks to bring together researchers who apply machine learning methods in the following fields:

  • Labor economics
  • Economics of education 
  • Health economics

We invite researchers to submit full papers or extended abstracts as pdf files to

More information about the "2nd International Workshop Machine Learning in Labor, Education, and Health Economics" on XING-Events


  • November 18, 2021 from 2:00pm until 6:00pm CET
  • November 19, 2021 from 2:00pm until 6:00pm CET


Virtual via Zoom

Keynote Speaker

  • Susan Athey, Stanford University

Scientific Committee

Important dates

  • August 1, 2021: Deadline for submission
  • September 1, 2021: Notification of acceptance
  • October 1, 2021: Deadline for registration

Workshop fee

There will be no workshop fee.

Technical Advices

The seminars will be streamed via Zoom.

For a smooth participation in the seminars we recommend:

  • a current browser (Google Chrome, Mozilla Firefox, Microsoft Edge Chromium)
  • When opening the invitation links to the seminars, you can decide whether you want to participate via the Zoom client or via the browser. Installing the Zoom client and dialing into an event via the "Zoom Client" offers more options.
  • use of a headset or microphone
  • optional use of a camera




Hosted in collaboration with

Logo des Labor and Socio-Economic Research Center (LASER) Uni of Erlangen Nuremberg

Logo Friedrich-Alexander University (FAU)