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EBOLS is a two weeks intensive course in advanced econometrics. It is aimed at PhD students and advanced Masters students in economics, socioeconomics or any social science, who have a firm grip of linear econometric modeling.
Teaching: The course is designed to cover econometric methods beyond ordinary linear regression in both marco- and microeconomics. The strategy is to understand the fragility of the OLS which makes it inappropriate for many applications, to identify the key issues in need of adaptation, and to take it to the data. Students should expect to be confronted with a wide variety of techniques in order to understand the underlying methodology of non-OLS models.
Literature: Students must read selected chapters of Verbeek, 2004, “A Guide to Modern Econometrics”; Cameron and Trivedi, 2005, “Microeconometrics: Methods and Applications”; Koenker, 2005, “Quantile Regression”, as well as the papers by Firpo, Fortin and Lemieux, 2009, “Unconditional Quantile Regression” and Fournier and Koske, 2012, “Less Income Inequality and More Growth”. Further literature will be made available maximally two weeks before the course starts.
Software: Applied examples will be presented using the software package R within the graphic user interface RSTudio. Students are expected to understand how to load and save data, activate libraries, and use libraries “dplyr” and “reshape2”. Students with excellent knowledge of STATA or EViews can participate too, but classroom instruction will not extend to these (or other) software packages. Students are highly encouraged to attend class with a machine with such software installed. |
