Statistics, Econometrics and Quantitative Methods

S321 Applied Econometrics


Lecturer:   Prof. Dr. Martin Biewen; Miriam Sturm, M.Sc.
Profiles:   B.Sc. in Economics and Business Administration
B.Sc. in International Economics
B.Sc. in International Business Administration
Prerequisites:   Quantitative Methods in Economics and Business Administration recommended
Language:   English
Time and Place:  

Tue, 08-10, Wiwi Seminar Mohl, Seminarraum E02
Wed, 08-10, Wiwi Seminar Mohl, Seminarraum E02

Practical sessions/Exercises: see below

Start:   Tue 18.04.2023
Exam:   Written Exam (60 Min.)
After the exam, you will have the opportunity to inspect your marked exam papers at our offices at a specific date which will be posted on our webpage. If you want to use this opportunity, please watch our webpage after the exam. There will be no other possibility to inspect your exam (no other date or other ways such as online).
Credits:   6 ECTS

Course Outline

1) The Nature of Econometrics and Economic Data


2) The Simple Regression Model

3) Multiple Regression Analysis: Estimation

4) Multiple Regression Analysis: Inference

5) Multiple Regression Analysis: OLS Asymptotics

6) Multiple Regression Analysis: Further Issues

7) Multiple Regression Analysis with Qualitative Information

8) Heteroskedasticity

9) More on Specification and Data Issues


10) Basic Regression Analysis with Time Series Data

11) Further Issues in Using OLS with Time Series Data

12) Serial Correlation and Heteroskedasticity in Time Series Regressions


13) Pooling Cross Sections across Time: Simple Panel Data Methods

14) Advanced Panel Data Methods

15) Instrumental Variables Estimation and Two Stage Least Squares

16) Simultaneous Equations Models

17) Limited Dependent Variable Models and Sample Selection Correction

18) Advanced Time Series Topics (Unit Roots, Cointegration, VAR)

Practical Sessions/Exercises

The solution to the problem sets will be presented in the practical session. We urge you to (at least try to) solve the problem sets before the corresponding practical session takes place. It is only in this way that you will be properly prepared for the exam.

10.05.2023 Problem Set 1
17.05.2023 Problem Set 2
14.06.2023 Problem Set 3
28.06.2023 Problem Set 4
12.07.2023 Problem Set 5
19.07.2023 Problem Set 6
26.07.2023 Problem Set 7

Course Materials

Course materials can be accessed in Ilias. Log on with your university account, register for the course and click through all the folders. Download all documents to your personal computer as you might not always have access to the internet.


Wooldridge: Introductory Econometrics, A Modern Approach, International Student Edition

Angrist/Pischke: Mostly Harmless Econometrics: An Empiricist's Companion

Baum: An Introduction to Modern Econometrics Using Stata, Stata Press

Heiss: Using R for Introductory Econometrics