This course teaches modern design based approaches to empirical analysis that are prevalent in applied microeconomics. In particular, we focus on analysis techniques associated with credible empirical evidence - with a strong leaning towards experimental and quasi-experimental techniques. The course teaches both the actual implementation of the techniques using statistical software and relevant applications in the economics literature, with a particular emphasis on business relevant topics, such as personell economics and industrial organisation, in addition to classical applications in labor economics, health economics and development economics. We also explore to what extent the analysis techniques are used and can be used in business contexts.
- Empirical strategies in applied microeconomics
Comparing experimental techniques and observational studies
Implementation of empirical strategies in statistical software
Key scientific studies in business relevant economics
Applications of experimental techniques to business problems
Learning outcome knowledge
After taking this course, students should
know how to analyze empirical microeconomic problems using data from lab experiments or field experiments,
know how to analyze data using regression techniques to generate comparable samples,
know how to analyze data using instrumental variable techniques to overcome exogeneity problems,
know how to exploit regression discontinuity designs,
know how to analyze data using the difference-in-differences methodology.
- Presentation: 20%
- Written exam: 80%