DatesPeriod 2 - Oct 24, 2022 to Dec 16, 2022
In this course we provide an understanding of basic econometric methods. Knowledge of these methods allows one to understand modern empirical economic literature and to perform one's own analysis of economic and business data. The technique of regression is discussed, as well as various extensions that are needed in concrete applications to deal with, for example, heteroscedasticity, autocorrelation, endogeneity, and non-linearity’s. Furthermore an introduction to discrete choice modeling is given. The main emphasis of the course is on the interpretation of models and outcomes of estimation and testing procedures. The students practice this themselves by analyzing economic and business data by means of the software R and by deriving and interpreting formulas for basic models and concepts.
C. Heij, P.M.C. de Boer, P.H. Franses, T. Kloek and H.K. van Dijk (2004). Econometric Methods with Applications in Business and Economics, Oxford University Press, Oxford.
W.H. Green (2012). Econometric Analysis (7th edition), Pearson.
F. Hayashi (2000). Econometrics, Princeton University Press, Princeton.
J.M. Woolridge (2000). Introductory Econometrics, a Modern Approach (4th edition), South Western College Publishing.