Current teaching at Vrije Universiteit Amsterdam

  • Probability Theory: 2020 -

Learning objectives

By the end of this course, participants will:

  1. gain knowledge and understanding of basic concepts of probability theory and probability distributions;

  2. learn to select an appropriate method to solve typical problems in probability theory and applying these methods correctly;

  3. be able to a verbally described problems in the language of probability theory to solve the problem;

  4. gain knowledge of probability distributions which occur most commonly in practice and being able to use the known properties of these distributions to solve problems.

  • Multivariate Econometrics: 2016 -

Learning objectives

By the end of this course, participants will:

  1. have detailed knowledge of analysing multivariate time series with a focus on stationarity and non-stationarity;

  2. understand the limit theory of behind stationary VARs;

  3. understand the limit theory of behind unit root tests;

  4. understand the limit theory behind spurious regression and cointegration;

  5. be familiar with advanced unit-root and cointegration tests;

  6. understand the concept of cross-sectional dependence in static panel data models;

  7. understand the challenges in estimating dynamic panel data models;

  8. understand the challenges in designing, estimating and analysing linear econometric models for non-stationary time-series and panel data.

Previous teaching

  • Introduction to Data Science: Vrije Universiteit Amsterdam, 2017 - 2019

  • Econometrics I: Vrije Universiteit Amsterdam, 2016 - 2019

  • Mathematical Methods - Dynamic Optimization: Lund University, 2015 - 2016

  • Statistical Methods for Econometrics: Lund University, 2014 - 2015

Edward Hopper, People in the Sun, 1960