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Inhaltsbereich: Institut für Arbeitsmarkt- und Berufsforschung

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 workshop on machine learning in economics. 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. So far, only few studies apply these methods in empirical economic research, 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 and health economics.


19-20 November 2020


Due to the COVID-19 pandemic, the workshop will be conducted online via Zoom. Once you have registered for the workshop, you will receive the Zoom link a few days prior to the workshop.

Keynote speakers

  • Michael Lechner (U St. Gallen)
  • Jens Ludwig (U Chicago)

Scientific committee and organisers

  • Bernd Fitzenberger (IAB und Humboldt-University Berlin)
  • Michael Lechner (University of St. Gallen)
  • Jens Ludwig (University of Chicago)
  • Regina Riphahn (FAU)
  • Claus Schnabel (FAU)
  • Gesine Stephan (IAB and FAU)
  • Conny Wunsch (University of Basel)

Submission and important dates

Please submit full papers or extended abstracts as pdf files to

Workshop fee

There will be no participation fees.


More information

For more information, visit the XING Events website (website is partially not accessible):

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