Economic Policy and Causal Machine Learning

The availability of “Big Data” and abundance of computing power triggered the development of new methods for causal analysis based on machine learning. Our research interest is to investigate the potential of these causal machine learning methods and to make them applicable for real world policy questions. They can guide optimal policy decisions and help to systematically evaluate existing policy measure.

This research receives funding from the Swiss National Science Foundation. The project Causal analysis with Big Data is part of the National Research Programme 75 “Big Data” (NRP 75).

The current discussion papers are published on this page. Please contact the authors directly if you have any content-related questions or suggestions.