Econometrics
About
This course discusses the use of data to establish and quantify causal relationships between economic variables. We consider cross-sectional, as well as panel and time series data. The students learn to distinguish between causal relationships and correlations. An empirical analysis of a causal relationship requires a source of correlations. An empirical analysis of a causal relationship requires a source of exogenous variation.
The course introduces two econometric methods (ordinary least squares and instrumental variable regression) that exploit different sources of exogenous variation.
The students learn about the role of control variables, measurement error and equilibrium conditions (“simultaneous equations”) in assessing the plausibility of an exogeneity assumption. They learn how to use the framework of statistical testing to account for the fact that a dataset does not contain 1) data on all relevant economic units, 2) measurements of all determinants of unit behavior. In addition to learning about the theoretical foundations of econometric methods, the students will learn how to apply them to real economic data. To this end, they will learn how to process and analyze economic data using a statistical software.
Prerequisites and selection
Entry requirements
Admission to the course requires a minimum of 30 credits of Economics, of which at least 15 credits have obtained a passing grade.
Selection
Selection is based upon the number of credits from previous university studies, maximum 165 credits.
