Participants learn how to identify problems that can be solved by panel data and how to use and implement corresponding solution methods. The implementation is done by R. Three basic models and its advantages and disadvantages are discussed, more detailed “one-way”, “two-way” and “dynamic panels”. The course starts with a comprehensive repetition of ordinary least squares (OLS) and generalized least squares (GLS) estimation as well as matrix algebra.
Students should have basic knowledge in statistics and empirical methods, especially in the linear regression model (for example from bachelor course "Empirical Economics" or master course "Empirical Methods"). The basic functions of R should also be known, the course “Introduction to R” is highly recommended. Time series analysis and programming skills can be helpful, but are not absolutely necessary.
The course is designed for PhD students, but is also available for Master students.
Kurs im HIS-LSF- Lehrende/r: Andrea Beccarini
- Lehrende/r: Stella Martin