Course Overview

This course provides the review of multivariate statistical methods, e.g. principal component analysis, factor analysis and discriminant analysis, which are of great importance in empirical economic research.

Learning Achievement

Qualification targets: Understanding of basic multivariate models and the ability to use them empirically. Imparted soft skills: Analytical thinking, Independent studying and learning, Critical thinking

Competence

Qualification targets: Understanding of basic multivariate models and the ability to use them empirically

Course prerequisites

Basic knowledge of regression analysis and analytical statistics.

Grading Philosophy

100 % Written exam (90 min)

Course schedule

Week1: Introduction
Week 2: followed by Week 3 to the Final Week

Course type

combination of lecture and tutorial

Online Course Requirement

communication platform: moodle

Instructor

Dr. Markus Pape

Other information

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