In this course, we discuss discrete choice models.
Classical discrete choice models are used when a decision maker's choice for one option out of a discrete and finite set of alternatives is to be modelled.
One example would be the choice of transportation mode to get to the university (bus, train, car, bicycle or by foot).
The goal is to understand the reasons behind the choices and to make predictions.
It is expected that participants are familiar with basic statistics (e.g. from introductory courses in statistics, stochastics or econometrics).
"Discrete choice methods with simulation", Kenneth Train (2009), Cambridge Univ. Press, 2. ed.
Frequency | Weekday | Time | Format / Place | Period |
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Module | Course | Requirements | |
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31-SW-AKStat Ausgewählte Kapitel der Statistik | Veranstaltung aus dem Bereich Statistik oder einem methodisch verbundenen Gebiet 4 LP | Graded examination
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Veranstaltung aus dem Bereich Statistik oder einem methodisch verbundenen Gebiet 4 LP | Graded examination
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Student information | |
31-SW-StaFo Forschung in der Statistik | Reading Course | Graded examination
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The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
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Economics and Management (BiGSEM) / Promotion | Economics; Prerequisites | 4 |
A corresponding course offer for this course already exists in the e-learning system. Teaching staff can store materials relating to teaching courses there: