Econometric Methods and Applications

Academic year: 2008-2009 Course code module FTEMAEP001 Semester: 1st semester Credits: 6 Study load (hours) 168 Theory (hours): 45,00 Practice/Exercises(hours): 15,00 Other (hours): Part-time program: 1 Instructor(s) Stefan Kesenne Language of instruction: English Semester exam information: exam in the 1st semester Contract restriction information: 1. Prerequisites *Algemene competenties A knowledge of introductory statistics, calculus and linear algebra *Sequentiality 2. Objectives (expected learning outcomes) The final objective of this course is that the student should have a good knowledge of the Least Squares estimation method. The students should also be able to bridge the gap between a research question, the economic theory, the specification of a mathematical model and the statistical methods to estimate the parameters and to test the hypotheses.   3. Course content The Least Squares General Linear model with all its complications:  Testing hypotheses Prediction specification errors  multicollinearity Autocorrelation and heteroskedasticity (GLS) Errors in variables, stochastic regressors and instrumental variables Linear restrictions on parameters Dummy variables and its applications Lagged variables Simultaneous models and consistent methods Stationarity, co-integration and Error Correction Models Logit 4. Teaching method Direct contact: Lectures Exercise sessions Personal work: Exercises 5. Assessment method Exam: Written, without oral presentation Open book Open questions Written assignment: Without oral presentation 6. Compulsory reading – study material Ben Vogelvang, (2005), Theory and Applications with EViews, Prentice Hall 7. Recommended reading - study material Gujarati D.N., (2003), Basic Econometrics, Mc Graw Hill 8. Tutoring Monday 16 h - 18 h laatste aanpassing: last update: 12/09/2008 09:43 stefan.kesenne