Statistics, Econometrics and Quantitative Methods

S321 Applied Econometrics

Details

Lecturer: Prof. Dr. Martin Biewen; Ferdinand Ammon, 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: 

Mon, 12-14 a.m., (HS24 Kupferbau)

Tue, 8:30-10 a.m., (HS0.02 VG Wilhelmstr. 19 Student Service Center)

Practical sessions/Exercises: see below

Start: Mon 14.04.2025
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 announced on our webpage. If you wish to take advantage of this opportunity, please regularly check our webpage after the exam. No alternative options for inspection will be provided (no additional dates or online appointments).

Important Note for Exchange Students: Please ensure that you are still in Tübingen for the written exam, which typically takes place in the first or second week after the lecture period ends. Alternative options such as remote exams or oral examinations will not be available.

Credits: 6 ECTS

Course Outline

1) The Nature of Econometrics and Economic Data

PART 1: REGRESSION ANALYSIS WITH CROSS-SECTIONAL 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

PART 2: REGRESSION ANALYSIS WITH TIME SERIES DATA

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

PART 3: ADVANCED TOPICS

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 during the practical sessions, which will take place on the dates listed below. All other days are lecture days. We strongly encourage you to attempt the problem sets before the corresponding practical session. This is the only way to ensure you are properly prepared for the exam.

Tue 29.04.2025Problem Set 1
Tue 13.05.2025Problem Set 2
Tue 27.05.2025Problem Set 3
Tue 17.06.2025Problem Set 4
Tue 01.07.2025Problem Set 5
Tue 15.07.2025Problem Set 6
Tue 22.07.2025Problem 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.

Software

This course uses Stata. Please log in at https://campussoftware.zdv.uni-tuebingen.de/shib/ to download and install the license.

Literature

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