In this course, you will cover the basic theory of multivariate data analysis and of statistical methods in data science. You will focus on the most relevant multivariate techniques, as well as their application to econometric data in computer lab sessions. We will introduce you to Python, NumPy and pandas, data scraping, cleaning and wrangling.

In this course, you will study the microeconomic theory of perfect and imperfect competition. Learn under what conditions markets perform well as a means to organise economic activity (and under what conditions they do not).

In this course, you will gain a deep understanding of econometric theory, practice and inference. You will learn how to apply advanced econometric techniques in practice, extend available methods for particular applications and how to implement them in a matrix programming environment. Also, you will learn to understand and derive their statistical properties.

Based on key concepts and major topics in health economics, this course focuses on the potential outcomes framework, which is helpful for estimating and interpreting treatment effects. Moreover, you will be asked to critically assess the strengths and limitations of research designs and empirical papers in health economics. Finally, you will apply the techniques during the computer lab sessions with R and STATA.

In this course, you will build upon the general knowledge you acquired in Advanced Econometrics 1. You will gain a deep understanding of econometric theory, acquire the technical skills to conduct inference and be able to implement these techniques using software like MATLAB, R or Python.

In this course, you learn to build identification strategies to identify the effect of interest given a specific context and data availability constraints. In addition, you will learn how to improve environmental policy design in applied empirical research. During the computer lab sessions, you will replicate empirical results reported in seminal papers, and you are asked to critically reflect on the policy recommendations.

This course surveys some of the recent developments in macro econometrics based on a set of modern time series and panel data methods for empirical research. Specific econometric topics will be introduced, and their main elements will be outlined. Finally, key empirical papers applying those methods will be discussed critically. Using assignments, you will be asked to address particular research questions and discuss the policy implications of your findings.

Choose 1 out of 2 electives.

Choose 1 out of 4 electives.

The academic programme culminates in a thesis, which allows you to engage with state-of-the-art data analysis and statistical techniques. The Master's thesis is the final requirement for your graduation. It is your chance to dive deep into a topic in your field of choice (track) that you are enthusiastic about and allows you to do an independent research project. A professor of your track will supervise and support you in writing your thesis.