LECTURES

Students learn how to create simple econometric models, analyze them and interpret them in various economic applications. The simple linear regression model is used as an example to introduce the least squares principle and the results of the estimation are evaluated using statistical tests, confidence intervals and goodness of fit. The extension to the linear model with several influencing variables also includes cases of parameter restrictions and corresponding statistical tests.

The course is offered in each winter semester. Please consult OPAL for further information about the course.

This course examines the multiple linear regression model. Initially, there is a detailed analysis of appropriate methods in the event of divergences from model assumptions (autocorrelation, heteroscedasticity, multicollinearity). The course than looks at regressions with dummy variables and models with binary dependent variables.

This course is offered in the summer semester. More information available in OPAL.

Various models for time-series data are being presented on the basis of the concept of stochastic processes. The first part of the class discusses univariate linear time-series models (AR(p), MA(q), ARMA(p,q), ARIMA(p,d,q), ARFIMA (p,d,q)). The second part then presents GARCH-class models for time-dependent variability. It also examines tests and estimation methods in connection with return distributions of financial assets. Also multivariate time-series models with VAR components and error correction mechanisms are discussed. Finally, the course examines the concept of the cointegration, periodicity of time series and models in continuous time.

Recent empirical studies in economic research reveal an increasing interest into the investigation of individual data, which typically occur as qualitative variables. Conventional regression techniques provide inappropriate results in this case. The main component of the course is therefore the maximum likelihood method, with numerous applications. In particular, binomial models (logit / probit), multinomial models, regressions with censored and truncated variables (tobit models), models for count data, duration and hazard rate models as well as models for panel data are discussed.

The "Evaluations of Health Economics" lecture programme is part of the interdisciplinary main subject of study "Health Economics". After an introduction to the topic, the tools of health measurement / health economics are presented. The following part deals with the topic of "outcome research". Concepts for assessing quality of life are then presented. The second part of the lecture programme deals with quantitative methods of data collection and analysis with regard to issues relating to health economics. Case studies are used to illustrate and consolidate the concepts that have been presented.

As part of the module MA/D-WW-ERG-1901 or MA/D-WW-MG, our chair offers a seminar on Health Economics in English in the summer semester. Participants will be awarded 5 ECTS upon successful completion. Please find detailed information in OPAL.

If you would like to attend the Bachelor's, Master's or Research Seminar at the Chair of Quantitative Methods, especially Econometrics, please register in the OPAL Group. There you will find suggested topics. You are also welcome to make your own suggestions. Please write a message using OPAL to the staff of the chair so that you can discuss further details such as the topic specification and the detailed procedure.

If you are interested in writing your final thesis at our chair, please refer to OPAL for more information. You will find suggested topics there. However, you might also suggest your own topic. Please contact our team using  OPAl to discuss further details.