Modulhandbuch (Module manual)

M.184.6476 Applied Econometrics (WP)
(Applied Econometrics)
Koordinator (coordinator): Prof. Dr. Hendrik Schmitz
Ansprechpartner (contact): Prof. Dr. Hendrik Schmitz (hendrik.schmitz[at]
Credits: 5 ECTS
Workload: 150 Std (h)
Semesterturnus (semester cycle): WS
Studiensemester (study semester): 1-4
Dauer in Semestern (duration in semesters): 1
Lehrveranstaltungen (courses):
Zur Zeit sind keine Lehrveranstaltungen bekannt. (No courses are known.)
Wahlmöglichkeiten innerhalb des Moduls (Options within the module):
Empfohlene Voraussetzungen (prerequisites):
Zur Zeit sind keine Voraussetzungen bekannt. (No conditions are known.)
Inhalte (short description):

This course aims to provide students with a thorough understanding of core techniques of quantitative economics and econometrics and their application to test economic theories and measure magnitudes relevant for economic policy or managerial decisions.
It has two main parts. Part A introduces the linear regression model and ordinary least squares (OLS), its assumptions and problems when these assumptions are violated. An emphasis will be on the interpretation of regression results and practical problems in dealing with data. There will be a brief digression to panel models and models for binary outcome variables.
Part B deals with the issue of using data to make causal statements such as "The new marketing concept of company A lead to higher sales of product B” or “Minimum wages raise (or do not raise) unemployment”. Economists are typically (although not always) interested in causal statements – this course equips students with the methods to derive credible causal statements from data.

Introductory Part
1. General Introduction
2. Introduction to Causal Analysis

Part A: Regression Analysis
3. The Linear Regression Model
4. Panel Data Methods
5. Models for Binary Outcomes

Part B: Identification of Causal Effects
6. Matching
7. Difference-in-Differences
8. Instrumental Variables
9. Regression Discontinuity Design

Lernergebnisse (learning outcomes):
Fachkompetenz Wissen (professional expertise):
  • know issues in dealing with micro data as well as state-of-the-art methods to handle them.
  • know econometric models for micro data and panel data as well as the statistical program Stata.
  • know econometric estimation and can directly apply this knowledge to own empirical projects.
  • Fachkompetenz Fertigkeit (practical professional and academic skills):

  • can understand and critically evaluate empirical articles as well as scientific results reported on in the daily press.
  • acquire new strategies of knowledge acquisition through a combination of video lectures, solving exercises together with the lecturer, preparation and follow-on lecture material

    Personale Kompetenz / Sozial (individual competences / social skills):
  • ​​present their solutions in the team during the joint work in the lecture hall.
  • Personale Kompetenz / Selbstständigkeit (individual competences / ability to perform autonomously):
  • ​​improve their competency in solving problems and their time management by means of the design of the learning process (video lecture, inverted classroom).
  • Prüfungsleistungen (examinations)
    Art der Modulprüfung (type of modul examination): Modulabschlussprüfung
    Art der Prüfung
    (type of examination)
    a) Klausur 90 minutes 100.00 %
    Studienleistung / qualifizierte Teilnahme (module participation requirements)
    Voraussetzungen für die Teilnahme an Prüfungen (formal requirements for participating in examinations)
    Voraussetzungen für die Vergabe von Credits (formal requirements for granting credit points)
    Die Vergabe der Credits erfolgt, wenn die Modulnote mindestens „ausreichend“ ist
    Gewichtung für Gesamtnote (calculation of overall grade)
    Das Modul wird mit der Anzahl seiner Credits gewichtet (Faktor: 1)
    Verwendung des Moduls in den Studiengängen (The module can be selected in the following degree programmes)
    Promotionsstudium an der Fakultät WW
    Umfang QT (participation requirements):
    Lernmaterialien, Literaturangaben (learning material, literature):
    Slides, problem sets and links to lecture videos will be uploaded or sent via Email in advance.
    Teilnehmerbegrenzung (participant limit):
    Sonstige Hinweise (additional information):

    Teaching language: English, except for the case when all participants are German native speakers.

    The course Applied Econometrics starts on January 29, 2024. 

    It is designed as a 100% self-study course. Starting January 29, you will receive every week until April 1:

    ·  Lecture slides

    ·  Lecture videos (average duration of 70 minutes)

    ·  A problem set (theory and data work)

    You are supposed to watch the videos and work on the problem sets. However, you are not supposed to submit the solutions. My suggested solutions will be available one week later. Moreover, feel free to make an appointment or to send me emails in case of questions regarding lecture or problem sets, or any other issues related to causal analysis with micro data.

    The exam will be on Friday, 5 April, 2024 (11:00). It will be a 60 minute open-book exam covering lecture and problem sets (but no use of statistical software). The exam will be in presence at the university.

    In case you would like to attend: Please send an email to until 22 January 2024.

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