This course targets advanced master and beginning PhD students who either are interested in becoming familiar with the full set of available state-of-the-art empirical research methods for micro-level data, or have a special interest in empirical questions that go beyond average causal effects. It covers the following topics:
1. Quantifying causal mechanisms
2. Distributional causal effects
3. Dynamic causal models
4. Various theory-based approaches such as bunching evidence, structural estimation or sufficient statistics that enable
- theory-based identification and estimation strategies
- estimating structural model parameters
- quantitative model predictions
- quantitative normative analysis
- testing economic theory.
We illustrate these methods using applications that are easy to understand by students from different backgrounds.
Together with the course “ 52357 Empirical Research Methods in Labour Economics” this course provides a sound foundation for conducting high-quality empirical research with micro-level data.

For more information, see the <link file:2790 download internal link in current>Syllabus as well as the course directory.

All course material will be posted on ADAM.