Applied Research Methods in Real Estate/Angewandte Untersuchungsmethoden in der Immobilienwirtschaft (ARM)Dr. Marcelo Cajias, Lehrbeauftragter und Prof. Dr. rer. pol. Bing Zhu, Professor
Fr. 13.05.2022 15:00 Uhr - 20:00 Uhr // Fr. 27.05.2022 15:00 Uhr - 20:00 Uhr // Fr. 17.06.2022 15:00 Uhr - 20:00 Uhr , Raum 2605, Übungsraum (0506.02.605)
Matthias Passek, M.Sc., Wiss. Assistent
Further information on Moodle (including a detailed schedule).
Registration for the course on TUMonline.
The examination consists of a test (eventually as remote online exam) where the students prove not only their understanding of the learning content but also their ability to apply the methods, evaluate the results and consequences and moreover to develop the given approaches for further fields of utilization. Auxiliary materials are not admissible (only a non-programmable pocket calculator). The test requires partly the student’s own formulations, partly the qualifiedly checking of predefined statements.
Having successfully completed the module the students will have understood the given learning content and will be able to apply and develop this further. Therewith, they know to analyze and evaluate applicable situations and solve respective problems when later professionally working.
This lecture closes the gap between theoretical econometrics and applied real estate science, e.g. in deriving drivers of rents and prices developing explicit investment recommendations.
Exemplary topics: Statistical Fundamentals on Data and Structures, Univariate and Multivariate Regression, Econometric Tools for Model Diagnosis, Univariate Time Series Regression, Applied examples.
James, G., Witten, D., Hastie, T. and Tibshirani, R. 2013. An Introduction to Statistical Learning with applications in R, ISBN: 9781461471370. Chapters: 2.3 and 3.
Von Auer, Ludwig, 2016. Ökonometrie – Eine Einführung. ISBN: 9783662478684. Kapitel: 8.1, 8.2, 8.3, 8.4,
Colonescu, C. Principles of Econometrics with R. https://bookdown.org/ccolonescu/RPoE4/. Chapters: 2.1 until 2.7.