The course extends students’ econometrics tools by introducing extremum estimators (ML, GMM, and etc.), Bayesian methods and Time Series analysis. The goal of the TA sessions is to provide practical and theoretical extension of the material discussed during the lectures.

The aim of the course is to revise the basic tools in mathematics – such as linear algebra, calculus and optimisation methods – which are going to be used in the courses throughout the master program

This course deals with methods and applications of dynamic discrete choice structural models in Economics. The goal of the TA sessions is to provide practical implementation of the models presented during the lectures.

The course extends students’ econometrics tools by introducing extremum estimators (ML, GMM, and etc.), Bayesian methods and Time Series analysis. The goal of the TA sessions is to provide practical and theoretical extension of the material discussed during the lectures.

The goal of the classes is to help students with a non-economic background to go through basic math and economics concepts, which they face during the first semester of the master programme.