This course aims to introduce quantitative methods and techniques used for panel estimations. The first part of the course starts with the simplest form of panel estimations, the so called `pooled ordinary least squares´ (pooled OLS) models. This part of the lecture gives the opportunity to review basic concepts of OLS regression analysis. The second part of this lecture focuses on traditional static linear panel models. We will learn about the estimation of fixed and random effects panel models and how to interpret their estimation results. In the third part of this course, we will discuss advanced panel econometrics comprising an introduction to dynamic panel models
This course is for 2nd year MIA and MPP students only.