Module description: Research Methods I

Module name

Research Methods I

Credit points

5 ECTS credits


Lecture (2 hours/week) and tutorial (1 hour/week): 5 ECTS

Mandatory assistance



Prof. Dr. Andreas Landmann

Module Coordinator

Prof. Dr. Andreas Landmann


    1. Data
    2. Simple Regression Model
    3. Multiple Regression Model
    4. Regression Diagnostics
    5. Panel Data Methods
    6. Instrumental Variables Regression
    7. Time Series Models

Learning objectives and skills

Students are equipped with the core models and techniques in econometrics (including simple and multiple regression analysis, panel data methods, instrumental variables, and time series methods) so that they are able to understand empirical papers in economics and to conduct quantitative studies. They apply the models to economic data and interpret the results both from a statistical and economic point of view. Methodological skills that the students acquire are to conducts hypothesis tests of model parameters and to evaluate the goodness of fit and to select optimal estimators of models. In the tutorials, students present and critically discuss empirical estimates of quantitative models.



Integration in curriculum

First semester (winter term)

Module compatibility

Compulsory module for: M.A. Development Economics and International Studies

Method of examination

Written exam (60 minutes)

Grading procedure

Written exam 100%

Module frequency

Every winter semester

Resit examinations

Failed exams can be retaken twice


  • Class time: 42 hours
  • Study time: 108 hours (Reading: 42 hours, exercises: 42 hours, preparation for exam: 24 hours)


One semester

Teaching and examination language


Recommended reading

Wooldridge, J. M., Introductory Econometrics: A Modern Approach, 6th ed., Cengage Learning, 2015

Last modified

October 2019