Summer Term 2020
Bachelor
Theory of Economic Growth
Lecture & Exercises
The lecture provides an introduction to the theory of economic growth. Basic knowledge in analysis and econometrics is essential to successfully participate in the course. Topics covered include: Stylized facts of economic growth, factor accumulation and technical progress, Solow-Model, convergence concepts, human capital, models of endogenous and semi-endogenous growth, poverty traps, green growth, economic growth of commodity-rich countries.
Government Debt
Lecture & Exercises
The lecture deals with various aspects of government debt. Basic knowledge in mathematics, particularly in analysis, is essential to successfully participate in the course. Topics covered include: Measurement problems, government debt and private savings, debt sustainability and sovereign default, government debt in dynamically efficient or dynamically inefficient environments, government debt and endogenous economic growth.
Poverty and Globalization
Elective Seminar
Poverty and Globalization is an elective seminar that is intended to be attended during the fifth or sixth semester in the B.Sc. Economics programme. Prerequisite is the successful completion of the lecture Econometrics I. A successful completion of the lecture Econometrics II is of advantage. The seminar deals with the correlation between globalization and poverty, more generally between globalization and economic and social backwardness. Your task is to write an own study (joint with another seminar participant) on the impact the participation in international trade has on poverty or on other indicators for economic and social backwardness of a large group of developing countries.
Master
Time Series Econometrics
Interactive Lecture
This lecture provides an introduction to modern time series analysis. It covers basic concepts, univariate stationary processes, estimation, testing and forecasting, univariate nonstationary processes, spurious regressions, unit root tests, multivariate stationary processes, impulse response and variance decomposition analyses, Granger causality, multivariate nonstationary processes, cointegration and vector error correction models.