[ 977PADCEMEK22 ] KS Empirical Economics

Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M1 - Master's programme 1. year Economics Gerald Pruckner 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Economic and Business Analytics 2022W
Objectives Students master the fundamentals of econometrics. They are familiar with the most important concepts of mathematical statistics such as estimation and testing. They know the differences between different types of data and have experience in data collection and preparation. They understand empirical economic papers and can also evaluate their quality. They know the strengths and limitations of multiple regression analyses and can interpret estimation coefficients depending on different functional forms. They are able to independently conduct simple empirical analyses using business and economic data and to interpret the results. The students know the difference between descriptive and causal analysis. They have an overview of the possibilities of causal identification.
  • Basic statistical concepts (samples, probability distributions and their moments, ...)
  • Estimation and testing
  • Cross sectional data, time series, and panel data
  • Descriptive analysis and graphical representations
  • The linear regression model
  • The multivariate regression model -- model specification
  • Introduction to causal identification
Criteria for evaluation Written exam
Methods Lecture
Study material to be announced in lecture
Changing subject? No
Earlier variants They also cover the requirements of the curriculum (from - to)
977PADTEMEK21: KS Empirical Economics (2021W-2022S)
On-site course
Maximum number of participants 200
Assignment procedure Assignment according to priority