Inhalt

[ 977PADTEMEU21 ] IK Empirical Economics

Versionsauswahl
Es ist eine neuere Version 2023W dieser LV im Curriculum Master's programme Business Informatics 2023W vorhanden.
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M1 - Master's programme 1. year Economics Wolfgang Frimmel 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Economic and Business Analytics 2021W
Objectives Students master the fundamentals of econometrics and of the statistical package Stata. They are familiar with the most important concepts of descriptive statistics and multiple regression analyses and can apply them on real data. They are able to independently conduct simple empirical analyses using business and economic data and to correctly interpret the results and statistical significance. They know the strengths and limitations of multiple regression analyses and can also interpret estimation coefficients depending on different functional forms. They understand empirical economic papers and can also evaluate their quality.
Subject
  • Introduction into the statistical package Stata
  • Descriptive data analysis
  • Graphical representation of data
  • Estimation of linear regression models and model specifications in Stata
  • Interpretation of estimation results based on real data
Criteria for evaluation Computer exam and problem set
Methods Lecture, discussion of problem sets
Language English
Study material to be announced in lecture
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