Econometrics

Key Info

Basic Information

Studypath:
Master in Business Administration
Semester:
1
Course Type:
Lecture
Language:
English
Cycle:
Winter term
Scheduling:
Entire semester
Course Units:
4.0
Credits:
5.0
Compulsory Attendance:
No

Lecturer

  • Univ.-Prof. Dr.rer.pol. Almut Balleer

The following details taken from the examination regulations MSBWL/13, SMPO 2. Änderungsordnung (zum WS 17/18) are for information purposes only and not legally binding. For legally binding information, please refer to the corresponding official examination regulations of the program Master in Business Administration.

Syllabus

- Stasticial foundation for econometrics
- Estimating linear regression models (least squares, hypothesis tests)
- Beyond OLS (endogeneity, heteroskedasticity, autocorrelation, causality)
- How to work with real world data

Objectives

- Aqcuisition of empirical methods in order to be able to address and evaluate economic questions with real world data
- Ability to read and judge empirical studies critically

Prerequisites

Formally: none
Prior knowledge in basic statistics and matrix algebra is preferable. Literature will be provided for independent preparation

Examination

Examination (100%, graded, 60min.) Module Component: Possibility to obtain a bonus via ELearning that improves the final grade by one grade increment

Further Information

No information available in English at the moment.

Literature

Accompanying literature:
- Stock, James H., und Mark W. Watson, Introduction to Econometrics, 2nd/3rd edition, Boston.
- Wooldridge, Jeffrey, Introductory Econometrics - A Modern Approach, South-Western Cengage Learning, 4th edition, 2009.

Basic statistics:
- Mann, Prem S., Introductory Statistics, Wiley, 7th edition, 2010

More advanced literature:
- Angrist, Joshua D., und Jörn-Steffen Pischke, Mostly Harmless Econometrics, Princeton University Press, 2009.
- Judge, George G. et al, Introduction to the Theory and Practice of Econometrics, Wiley, 2nd edition, 1988.
- Greene, William H., 2008, Econometric Analysis, Prentice Hall, 2011.