Students will have a good knowledge of econometric methods. They will have the skills to apply these methods to a set of economic data.

This course is part of the programme for second-year econometrics students. The challenge of econometrics is to answer the question, what everyday reality has to tell about economic theories. Here, everyday reality takes the form of numerical observations or 'data', while economic theories are translated into a formal statistical 'model' with corresponding hypotheses. In order to extract as much information as possible out of the former concerning the latter, an appeal is made to statistical induction. These are the 'econometric methods' that are the subject of this course. They comprise mainly the estimation of the model parameters, the testing of the model hypotheses, and making (conditional) predictions with the model. We will study the most frequently used statistical methods and techniques in the first place for the classical linear model, but we mainly focus of the matrix notations of usual linear estimators and test statistics (e.g., OLS, OLS, the t-tests, F-test). Those estimators will be implemented during the tutorial meetings using the software packages R and Eviews. Further some important assumptions will be relaxed and alternative estimators (GLS, SURE) will be investigated in the presence of autocorrelation and heteroskedasticity. This course also emphasize dynamic models and time series econometrics (ARMA, VAR, cointegration, unit root, VECM, ...). Applied works (R, Eviews) will be carried out during tutorial meetings. The course Econometrics Methods II in the programme for the third-year econometrics students, covers issues that we do not do in this course (IV, GMM, ML, ...).

Greene, W. (2012), Econometric Analysis, 7th ed., Pearson.

This course has been cancelled for the pre-master Human Decision Science.
See the Bachelor Education and Examination Regulations for more information.

The following rule applies to pre-master Human Decision Science students who started the programme prior to academic year 2022-2023.
TRANSITIONAL REGULATION (EBC2111):
Students who have not been able to successfully complete "Econometric Methods I" (EBC2111) before 2023-2024, do not comply with the requirement to successfully complete the pre-master in two academic years. Therefore, no additional examination options will be available.


This course is in transition for the bachelor Fiscal Economics.
See the Bachelor Education and Examination Regulations for more information.

The following rule applies to bachelor Fiscal Economics students.
TRANSITIONAL REGULATION (EBC2111):
The bachelor Fiscal Economics has been discontinued.

There will be repeat education for year 1 and year 2 courses up to and including academic year 2025-2026 and exam-only up to and including academic year 2026-2027. For year 3 courses there will be repeat education up to and including 2026-2027 and exam-only up to and including academic year 2027-2028.

Whether a course is in transition, cancelled, or replaced may depend on the cohort you are in. Sometimes there are additional criteria. It is therefore very important to carefully read the EER and any addendum so you can apply the rules to your individual situation.


PREREQUISITES:
* A first course in econometrics (see, e.g. Empirical Econometrics).
* Exchange students should have advanced knowledge of:
    1.) Mathematical statistics
    2.) probability theory
    3.) matrix algebra
    4.) introduction to quantitative methods with an emphasis to the linear model
* An advanced level of English.