[ 572GVWLEMEK20 ] KS Empirical Economics

Es ist eine neuere Version 2022W dieser LV im Curriculum Master's programme Social Economics 2023W vorhanden.
(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS B2 - Bachelor's programme 2. year Economics Gerald Pruckner 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)KS Statistik für Sozial- und Wirtschaftswissenschaften ODER die Zulassung zum Masterstudium Economic and Business Analytics ODER die Zulassung zum Masterstudium Wirtschaftsinformatik
Original study plan Bachelor's programme Economics and Business 2020W 2020W
Objectives The course (KS) Empirical Economics is an introduction to Econometrics. Parallel to this course, students should also attend the intensive course (IK) Empirical Economics. The combination of both courses initially aims to support students in developing skills for empirical work. Here, the focus is on the intuition of empirical approaches, and the recognition of the range and limits of empirical methods as a basis of data-driven decisions. After completing the two courses, students will be familiar with the technical vocabulary and be able to independently conduct empirical (econometric) research. These skills are not only required for economic analyses, but are also valuable in business practice or for assessing policy measures. In a further step, students learn to formulate their (own) research hypotheses, to collect useful data, and to interpret empirical results. The IK offers an introduction to the statistical/econometric software package STATA. The course(s) are primarily aimed at students of economics and business analytics, but also at students of other programs who are interested in empirical approaches and methods.
  • Statistical fundamentals
  • Estimation and testing
  • Data
  • Descriptive analysis - selection
  • Linear regression model
  • Multivariate linear regressions
  • Introduction to causal identification
Criteria for evaluation Grading: There will be a final exam at the end of the semester.

Language English
Study material Presentation slides provided via Moodle
Changing subject? No
Further information Only basic knowledge in statistics and mathematics is required. Understanding of simple economic theory is an advantage.
On-site course
Maximum number of participants 200
Assignment procedure Assignment according to priority