By ESPE 562 downloads
Machine Learning In Labor, Education, And Health Economics - International workshop
19-20 November 2020, IAB - Germany
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.
For more information download the Call in attachment.