[ 572GVWLEMEU20 ] IK Empirical Economics

Es ist eine neuere Version 2023W dieser LV im Curriculum Bachelor's programme Business Informatics 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 Wolfgang Frimmel 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)KS Statistik für Sozial- und Wirtschaftswissenschaften ODER Zulassung zum Masterstudium Economic and Business Analytics ODER Zulassung zum Masterstudium Wirtschaftsinformatik
Original study plan Bachelor's programme Economics and Business 2020W 2020W
Objectives The IK course "Empirical Economics" supplements the course "KS Empirical Economics". The KS course focuses on econometric concepts and theory which will be discussed in class and the IK focuses on empirical applications.
  • Introduction into Stata
  • Problem sets to
    • descriptive analysis
    • linear regression model
    • model specification
Criteria for evaluation In essence, students enrolled in the IK course are required to complete "problem sets". At least 50% of available exercises must be solved to be eligible for exam participation. The exam will be on the computer.
Methods The first class meetings will introduce students to the statistical/software packet Strata. In the following lectures, problem sets will be discussed in tutorials.

Language English
Study material See KS course; plus optional Adkins, Lee C and R. Carter Hill (2008), Using Stata for Principles of Econometrics, 3rd Edition, Wiley.
Changing subject? No
Further information To enroll in the IK course, students must also be enrolled in (or have already taken) the course "KS Empirical Economics".
On-site course
Maximum number of participants 40
Assignment procedure Assignment according to priority