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Attention:Actuellement, la version de la langue que vous avez choisie n'est malheureusement pas disponible.Vous allez être transféré(e) automatiquement à la version anglaise! Empirical Economic Research (Empirische Wirtschaftsforschung)
Empirical Macroeconomics (Empirische Makroökonomie) ECTS-Credits: 12 Instructor: Prof. Dr. Joachim Möller 6 SWS (4 hrs lecture, 2 hrs tutorial), SS or WS Description: Introduction to modern methods for quantifying and empirically testing different economic models Method of assessment: written examination
Analysis of Wage and Employment Structure (Analyse der Lohn- und Beschäftigungsstruktur) ECTS-Credits: 4 Instructor: Dr. Thomas Beissinger 2 SWS, SS Description: to be announced Method of assessment: to be announced
Introduction to Econometrics (Grundlagen der Ökonometrie) ECTS-Credits:10 Instructor: Prof. Dr. Rolf Tschernig 5 SWS (70 hrs in SS, 75 hrs in WS); SS and WS available (3 hrs lecture, 2 hrs tutorial) Description: The core of the course Introductory Econometrics consists of the classic linear regression model and the ordinary least squares (OLS) estimator. Its statistical properties are studied for a number of different conditions under which economic data can be obtained. It is emphasized that the knowledge of the underlying statistical properties is a crucial condition for reliably selecting the relevant factors. Such selections can be conducted by means of t-tests, F-tests or model selection criteria. Furthermore, the consequences of misspecified models are discussed. To avoid problems due to misspecification, diagnostic tools are covered that allow to check the validity of model assumptions. Finally, it is shown how the economic interpretation of an econometric model and its model parameters depend on the data set used and the model specification. An important part of the course is that students apply the econometric methods to a number of empirical problems. Some examples are the quantification of the influencing factors of manager salaries, choice behavior, wages, consumption, real estate prices, rents or R&D expenses. For this purpose both Excel and the software EViews are used Method of assessment: submitted exercises and final examination
Applied Financial Market Econometrics (in English) (Angewandte Finanzmarktökonometrie) ECTS-Credits: 8 Instructor: Prof. Dr. Rolf Tschernig 4 SWS (56 hrs) ; SS (2 hrs lecture, 2 hrs tutorial) Description: The Capital-Asset-Pricing-Modell (CAPM) offers one explanation why expected stock returns may differ. Further influential factors were identified by recent empirical research. A reliable quantification of the impact of relevant factors is crucial for efficient portfolio decisions. The first part of this course focuses on forecasting stock returns and their use in deriving efficient investment strategies. The topic of the second part of the course is the modelling and prediction of stock return volatility. Such forecasts have become indispensable for reliably estimating the implied risk of an investment portfolio or the calculation of option prices. Such models are generally based on the class of ARCH models. The course emphasises the application of the presented econometric and statistical methods. An essential component of the course are short projects that students carry out with available software packages. The course is taught in English. Method of assessment: submitted exercises and final examination back to top |