Master / Diploma
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.