Eco­no­met­rics

Course content

The aim of the course is to provide the students with an understanding of models, estimation methods within the field of econometrics. Cross sectional, and panel data sets will be used to analyze various economic models. The course provides both a theoretical and an applied (hands on) angle on the topic. The course consists of two parts, the first of which is a (high level) presentation of estimation and inference methods for the multiple linear regression model. Here practical aspects are covered and statistical properties are proved. In the second part the course covers several topics from Micro- and Panel Econometrics. In particular, it elaborates the use of single equation regression models with an emphasis on endogeneity problems and instrumental variable estimation based on cross sectional data set. It focuses on the analysis of panel data sets – their merits, special problems, estimation methods etc. Finally, it covers binary dependent variable models. The course builds on a standard introductory course in econometrics. Knowledge of fundamental concepts of mathematics and statistics is required. Students need to be familiar with matrix notation.