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Instructors: Markus Michaelsen; Prof. Dr. Alexander Szimayer
Event type:
Lecture + practical course
Displayed in timetable as:
Quant. Methods
Hours per week:
3
Credits:
6,0
Language of instruction:
English
Min. | Max. participants:
- | -
Comments/contents:
Econometric methods are useful research tools in social sciences. This course provides a rigorous introduction to contemporary econometric methods and teaches students how to apply them to a variety of data sets in the field of international business and sustainability. Students will learn how to derive testable implications in social sciences, and how to design and perform an empirical test of these hypotheses. The course enables students to plan and carry out empirical research in social sciences on their own.
The covered topics include
Introduction to Econometrics
Review of Statistics
Simple Regression and Hypothesis Tests
Multiple Regression and Hypothesis Tests
Time Series Analysis
Panel Data Analysis
Learning objectives:
In this course, students acquire both a sound theoretical background of standard econometric tools and the ability to implement an empirical project on their own in a programming language of their choice.
Didactic concept:
The weekly lectures provide a rigorous introduction to contemporary econometric tools used in empirical research. In the bi-weekly tutorials, course participants learn how to apply the econometric tools to solve empirical research questions in the field of international business and sustainability. Research projects give students the opportunity to implement quantitative empirical research methods by using data on their own in groups.
Literature:
- Woolridge, Jeffrey M. (2013): Introductory Econometrics, 5th International edition, Cengage Learning.
- Stock, James H. and Mark W. Watson (2014): Introduction to Econometrics, 3rd revised global edition, Prentice Hall.
Additional examination information:
Lecture, Tutorial, and Exam are in English.
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