Winter Term 2020/2021
Bachelor
Empirical Business Cycle Analysis
Lecture & Exercises
This course provides an introduction to empirical business cycle analysis using descriptive and structural models from time series econometrics. No prior knowledge of time series econometrics is required, but students should be familiar with basic econometrics. The course surveys the development of business cycles theory in recent decades and shows how theories can be tested empirically using modern time series methods. The lecture focuses on the application of methods, it does not cover the underlying estimation theory.
Master
Estimation and Inference in Econometrics
Interactive Lecture
The objective of this course is to prepare students for basic and advanced empirical work in economics. After a broad review of probability theory, inferential statistics and basic econometrics, the course focuses on methods for causal inference in econometrics. Successful completion of this course should allow students to read and understand much of the professional empirical literature in economics and related fields. The course also provides hands-on experience in econometric analysis designed to help students to acquire the skills necessary to carry out their own empirical research.
The Fiscal Theory of the Price Level
Interactive Lecture
Between 2015 and 2021, we observed persistently low levels of inflation despite extremely expansionist monetary policies in many advanced economies. This challenges our understanding on how the price level is determined. A non-orthodox attempt to explain price level and inflation is the fiscal theory of the price level (FTPL), which has developed over the last 25 years. The lecture presents a state-of-the-art exposition of the FTPL.