Description:

Detailed and frequently updated information can be found in the course room Econometrics (Master) (Winter Term 2023/24) on Moodle.

Please log in with your university ID and use the access key "QMW". If you register for the course on Moodle with your email address, you will receive updated information about the course during the semester.

Learning Targets:

This course covers some widely applied econometric methods. After successful completion of this course, students will be able to understand many empirical studies in the field of economics and business. Moreover, they will have learned how to practi­cally implement simple econometric analysis with real data and how to inter­pret their results. Students will have a good understanding of the assumptions that underlie a causal interpretation of results and they are able to deal with some particularities that often arise in empirical work.

Outline:

·        Introduction

·        The Simple Regression Model

·        Multiple Regression Analysis: Estimation

·        Multiple Regression Analysis: Inference

·        Multiple Regression Analysis: Further Issues

·        Difference-in-Differences

·        Panel Data Methods: Fixed Effects

·        Instrumental Variable Methods

·        Binary Outcome Variables: Logit and Probit Models

Literature:

·    Main Textbook: Wooldridge, J. (2019), Introductory Econometrics: A Modern Approach,
     International Edition, South-Western, Cengage Learning.

·    Background Reading: Stock, J.H. and M.W. Watson (2012), Introduction to Econometrics,
     Global Edition, Harlow (UK): Pearson.

Notes: Earlier editions of these textbooks work equally well. 

Methods of Assessment:

Exam