Core Elective Courses Here you can find detailed information about the core elective courses. The following core elective courses are offered: Specialisation: Econometrics Course Lecturer Semester Spatial Econometrics Prof. Zeno Adams and Roland Füss Spring Statistical Learning and Applications Prof. Christine De Mol Spring Advanced Microeconometrics Prof. Markus Frölich Spring Computational Statistics Prof. Francesco Audrino Spring Econometrics of Big Data Prof. Christian Hansen and Viktor Chernozhukov Spring Time Series Analysis - Advanced Methods Prof. Carsten Trenkler Spring Using Spatial Data in Applied Economic Research (HS17) Prof. Paul Raschky Autumn Causal Inference Prof. Michael Lechner Autumn Specialisation: Economics Course Lecturer Semester Dynamic Macroeconomics: solution methods and applications to models with incomplete markets (not in FS18) Prof. Winfried Koeniger Spring Topics in Empirical Health and Labor Economics (HS17) Prof. Beatrix Eugster and Prof. Nicole Maestas Autumn Inequality and Macroeconomics Prof. Reto Föllmi Autumn Political Economics of Development Prof. Roland Hodler Autumn Empirical Evaluation of Economic Models Prof. Conny Wunsch Autumn Specialisation: Finance Courses Lecturer Semester Quantitative Behavioural Finance with Applications Prof. Enrico De Giorgi Spring Quantitative Asset Management (not in FS18) Prof. Axel Kind / Dr. Ralf Seiz Spring Topics in Behavioral Finance Prof. Markku Kaustia Spring Resampling Methods and Forecasting Prof. Lorenzo Camponovo Spring Topics in Financial Intermediation Prof. Martin Brown Spring Advanced Topics in Pricing and Hedging of Equity Derivatives (not in HS17) Prof. Matthias Fengler Autumn Empirical Finance Prof. Paul Söderlind Autumn Market Microstructure Prof. Angelo Ranaldo Autumn Time Series Methods in Financial Econometrics Prof. Patrick Gagliardini Autumn We regularly offer new courses. For more detailed information please check the online course directories. Please note that crediting courses from our Partner Programmes is possible: e.g. the University of Constance regularly offers courses in Econometrics and Finance that can be credited. Detailed information about crediting may be found here.