(*) 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
Martina Zweimüller
2 hpw
Johannes Kepler University Linz
Detailed information
Pre-requisites
(*)KS Einführung in die Volkswirtschaftslehre KS Daten und Forschungsdesigns in der Ökonomie
ODER Zulassung zum Masterstudium Wirtschaftsinformatik ODER Zulassung zum Masterstudium Sozialwirtschaft
Original study plan
Bachelor's programme Business and Economics 2026W
Learning Outcomes
Competences
Students understand empirical economic studies and can assess the scientific quality of these works. They are capable of performing simple empirical analyses and are familiar with causality theory.
Students develop practical skills necessary for independent empirical research.
Skills
Knowledge
Students understand multiple linear regression models, are aware of their strengths and weaknesses, and can correctly interpret the estimated coefficients from these models.
Students can conduct simple empirical analyses using statistical software (Stata) and real-world data.
Estimation of linear regression models and model specification in Stata
Descriptive methods and graphical data analysis in Stata
Interpretation of estimation results
Discussion of empirical economic research studies
Criteria for evaluation
Problem sets
End-of-term project
Methods
Lectures, discussion of problem sets, (presentations)
Language
English
Study material
Wooldridge, Jeffrey M. (2013). Introductory Econometrics: A Modern Approach. 5th edition (or 4th edition, 2008), South-Western Cengage Learning.
Further literature will be announce in the intensifying course.
Changing subject?
No
Further information
The intensifying course is complementary to the course (KS) Intermediate Econometrics. Students have to attend the course in order to participate in the intensifying course.
