Courses Bachelor Display 2017-2018

Course Description To PDF
Course title Econometric Methods II
Course code EBC2120
ECTS credits 6,5
Assessement Whole/Half Grades
Period
Period Start End Mon Tue Wed Thu Fri
4 5-2-2018 6-4-2018 X X
Level Intermediate/Advanced
Coordinator Denis de Crombrugghe
For more information: d.decrombrugghe@maastrichtuniversity.nl
Language of instruction English
Goals
(1) Thorough understanding of standard econometric models and methods for the analysis of independent data; independent data are typically cross-sectional, as opposed to time series which are sequential and generally serially dependent.
(2) Additionally, some practical experience with the application of the methods, the interpretation of the models, and the evaluation of inferences.
(3) In particular, providing background and warming up for students about to write a Bachelor thesis on an empirical topic.
Description
In order to satisfy the Econometrics & OR curriculum, you have to choose two of the
courses EBC2091, EBC2120, EBC2121, EBC2122 in period 4.

"ECONOMETRIC METHODS II" IS THE NEW TITLE FOR THE COURSE PREVIOUSLY LABELLED "DYNAMIC MODELLING".

The course is designed as a follow-up to the second-year course Econometric Methods 1 (EBC2111), reviewing known methods somewhat more formally before introducing the new ones. The intended main topics are
(1) a quick review of linear models, (2) Instrumental Variable methods (IV), (3) Maximum Likelihood methods (MLE), (4) Generalised Methods of Moments (GMM), (5) nonlinear models for choices, counts, corner solutions etc., (6) linear models for panel data.
These topics will be treated at a fairly advanced level, starting from abstract assumptions about a multivariate world described in terms of vectors and matrices.
Literature
Wooldridge J.M. (2010): Econometric Analysis of Cross-Section and Panel Data, Second Edition, MIT Press, Cambridge, MA. (First half).
Davidson R. & J.G. MacKinnon (2004): Econometric Theory and Methods, Oxford University Press.
Cameron A.C. & P.K. Trivedi (2005): Microeconometrics, Cambridge University Press. (First half).
Greene W.H. (2008): Econometric Analysis, Sixth (or Seventh) Edition, Pearson Prentice Hall.
Prerequisites
Linear algebra, mathematical statistics (EBC2107), Econometric Methods I (EBC2111) or the equivalent.
Familiarity with statistical software like Stata and Gauss, Matlab or R.
Teaching methods PBL / Presentation / Lecture / Assignment / Groupwork
Assessment methods Final Paper / Participation / Written Exam
Evaluation in previous academic year For the complete evaluation of this course please click "here"
This course belongs to the following programmes / specialisations
Bachelor Econometrics and Operations Research Econometrics & OR Electives
Bachelor Econometrics and Operations Research Year 3 Compulsory Courses