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Quantitative Forschungsmethoden

Kurs ID
Art des Kurses
BSc Kurs
FS 2019
Prof. Dr. Michael Massmann
Bitte beachten Sie, dass AustauschstudentInnen im BSc-Programm der WHU eine höhere Anzahl an Credits erwerben als hier aufgeführt. Für weitere Informationen wenden Sie sich bitte direkt an das [International Relations Office].
The purpose of this course is to introduce modern econometric techniques and apply them to real world data sets. The material covered in this course includes an in-depth analysis of the linear regression model, least-squares estimation and statistical inference in this setting. Subsequently, nonlinear regression models are discussed and an introduction to panel data as well as stationary time series analysis is given. Empirical data sets are taken from finance and macroeconomics.
Date Time
Monday, 07.01.2019 11:30 - 15:15
Monday, 14.01.2019 11:30 - 15:15
Monday, 21.01.2019 11:30 - 15:15
Monday, 28.01.2019 11:30 - 15:15
Monday, 04.02.2019 11:30 - 15:15
Monday, 11.02.2019 11:30 - 15:15
Monday, 18.02.2019 11:30 - 15:15
Wednesday, 06.03.2019 11:30 - 15:15
Monday, 11.03.2019 11:30 - 15:15
Monday, 18.03.2019 11:30 - 15:15
Monday, 25.03.2019 11:30 - 15:15
Monday, 01.04.2019 11:30 - 15:15
By the end of this course, students will have a sound understanding of fundamental
econometric techniques and will be able to apply them to real world data sets using
modern software.
All relevant course material, including this course outline but exluding computer code and data sets, will be uploaded to https://moodle.whu.edu. R scripts and data sets are available on https://r.whu.edu
The course takes the form of interactive lectures with exercises: on the one hand, theoretical material is presented and illustrated by means of empirical examples using the R statistical computing environment; on the other hand, participants are given exercises to practice the use of newly-learned concepts, both conceptually and on the computer.
written exam
Familiarity with the topics covered in Statistics I and II is assumed.
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