The econometrics teaching program is offered in a cycle over 3 terms. In Econometrics I, the foundations of the subject are dealt with: causality, correlation, assumptions of the linear regression model, OLS estimation, asymptotic tests, misspecification, outliers, heteroskedasticity and an introduction to E-views. In Econometrics II, advanced subjects are covered: Endogeneity, instrumental variable estimation, and limited dependent variable models. In Applied Econometrics, a deeper analysis of selected topics is offered and students are required to write an empirical, applied-econometric essay. The focus of this course is on panel and time series data analysis

This course provides an introduction to the analysis of economic data using econometric methods. After taking the course, students should be able to understand empirical studies published in scientific journals and carry out econometric work by themselves. The course complements and expands the subjects dealt with in Econometrics I and II and involves writing an empirical, applied-econometric essay

Attendance is compulsory. A maximum of 2 lessons may be missed. This also applies if the course switches to a different mode, e.g. online or hybrid mode.

Lectures, Essay, Presentation

Exam: 40%

Presentation and essay : 30% +30%

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