Siem Jan Koopman 2011
VU University Amsterdam
Tinbergen Institute
VU Econometrics
The
Department of Econometrics and OR
is part of the
Faculty of Economics and Business Administration
of the
Vrije Universiteit Amsterdam or,
in English,
VU University Amsterdam.
VU Econometrics group
Staff
PhD students
Visiting PhD students
Former PhD students
- dr. F. Bijleveld (SWOV Institute for Road Safety Research, Netherlands)
- dr. V. Dordonnant (Senior Researcher, Electricite De France)
- dr. I. Hindrayanto (Economic Researcher, De Nederlandsche Bank, Amsterdam)
- prof. dr. M. Francke (Amsterdam Business School, University of Amsterdam and Ortec Finance Research)
- dr. P. Janus (UBS Research, Zurich)
- dr. B. Jungbacker (Morgan Stanley, London)
- dr. K.M. Lee (Ortec Finance Research)
- dr. R. Luginbuhl (CPB Netherlands Bureau for Economic Policy Analysis)
- dr. B. Schwaab (European Central Bank, Frankfurt)
- dr. S. Vujic (Lecturer, University of Bath, Department of Economics)
- dr. M. van der Wel (Econometric Institute, Erasmus University and CREATES, University of Aarhus, Denmark)
Former visiting researchers at VU Econometrics
- dr. Joao Valle e Azevedo (Banco de Portugal, PhD Stanford University)
- Prof. Drew D. Creal (Graduate School of Business, University of Chicago, PhD University of Washington)
- dr. Maria Angeles Carnero Fernandez (University of Alicante, PhD University Carlos III, Madrid)
- dr. Carolina Garcia Martos (PhD, Technical University of Madrid, UPM)
- prof.dr. G. Valle Moura (Universidade Federal de Santa Catarina, Department of Economics)
- dr. Stefano Grassi (CREATES, University of Aarhus, Denmark)
- dr. Philip Gould (PhD, Monash University, Australia)
- Johannes Tang Kristensen (CREATES, University of Aarhus, Denmark)
Student assistant
Web master
Secretaries
Vacancies / Job openings
Research interests
-
Dynamic regression and time series
-
Time-varying parameters
-
Kalman filter and state space methods (linear/nonlinear, Gaussian/non-Gaussian)
-
Simulation-based estimation (Bayesian and classical)
-
Stochastic volatility
-
Dynamic factor model (maximum likelihood estimation)
-
Long memory and fractional integration
-
Periodic time series models
-
Electricity load and price forecasting
-
Modelling (interest rate) term structures
-
Business, default and credit cycles
-
Seasonal adjustment
BSc Econometrics and OR
The bachelor program includes various
mathematical and statistical courses
such as Basic Mathematical Skills,
Calculus, Linear Algebra and
Introduction to Probability Calculation.
The core of the program consists of courses related to
Econometrics, Mathematical Economics and Operations Research.
In addition, a number of economics subjects need to be
studied including Macroeconomics, Microeconomics, Marketing,
Accounting and Finance.
The Econometric courses for which our group is responsible
are
- Introduction to Econometrics (Year 2, half-semester course, Jan--May)
- Numerical methods (Year 2, Apr--May)
- Econometric Case (Year 2, June)
- Econometrics 1 (Year 3, Sep--Oct)
- Essay (Year 3, January)
- Econometrics 2 (Year 3, Feb--Mar)
- Financial Econometrics (Year 3, Apr-May)
The bachelor programme can be completed in three years
and concludes with the writing of a
thesis.
MSc Econometrics
The master program in Econometrics at VU University
provides you with the opportunity to study
Econometrics in depth.
The program takes one year and is worth 60 credit points (ECTS).
It focuses on econometric theory and methods
with a focus on applications in economics and finance.
- Period 1 (Sept--Oct)
- Advanced Econometrics 1
- Courses in Economics/Finance/Mathematics/Statistics
- Period 2 (Nov--Dec)
- Advanced Econometrics 2
- Strategic and Cooperative Decision Making
- Course in Economics/Finance/Mathematics/Statistics
- Period 3 (Jan)
- Case study Financial Econometrics
- Period 4 (Feb--Mar)
- Time Series Econometrics
- Course in Economics/Finance/Mathematics/Statistics
- Period 5 and 6 (Apr--Jun)
The thesis can be based on practical or theoretical work.
The first option gives you the opportunity to analyse
real-life problems in finance or economics.
The second option allows you to focus on your topic of interest
by studying the relevant literature and doing independent
scientific work but with the support of the academic staff.
Writing a (Bachelor) thesis
1. Formal requirements to start a BSc thesis in Econometrics at VU
The requirements and guidelines can be downloaded as a Word document.
Please click here.
2. Starting the BSc thesis in Econometrics
- The student sends prof SJ Koopman an email to inform him that (s)he want to write a BSc thesis in econometrics.
- Supervisor: SJ Koopman then appoints a supervisor for the student wanting to write a BSc thesis in econometrics.
- Subject of the thesis: The thesis should concentrate on 1 or 2 articles on a related topic,
approved by the supervisor. The student should read the article(s) and convince
the supervisor that it is all understood! The student achieves this aim by individual research, and proves
his understanding in a report that could be finished after six weeks to two months full time work.
The report does not need to be long but it should follow the standards of sections 3, 4 and 5 below.
- Initial progress: All supervisors look after the progress
of the various BSc theses that are under construction.
The secretary of the department
maintains a list of BSc students in econometrics (make sure you are on it!).
The supervision of BSc theses during the months of July and August cannot be guaranteed.
3. General guidelines for writing a thesis in the study guide Econometrics and Operations Research
There are (general) guidelines for the BSc thesis (in Dutch)
in the study guide for the BSc program,
http://www.feweb-vu.nl/dbfilestream.asp?id=2790,
page 37 gives the rules. The thesis can be written in Dutch or in English.
4. General guidelines for writing a scientific report
We refer the students to three documents: one on clear
technical writing (Ehrenberg (1982)) one on style (ASA (1986) (American Statistical Association style guide)
and one on replication and how to write a publishable article (King (2006)).
We also use these references for the case study in the MSc Econometrics program.
The documents by Ehrenberg (1982) and the ASA (1986) are short and clear.
The article by King (2006) is very ambitious (being from Harvard University),
but it contains a lot of useful advice about problems in replicating (empirical)
results from scientific articles. The thesis advisor and co-examiner should decide how
close (content-wise) the thesis should be to a publishable paper.
5. Specific guidelines for the BSc thesis Econometrics
The BSc thesis focuses on studying one or more articles. For further details, click
here.
6. Finishing the thesis: Presentation and Marking
The final approved version of the thesis should be presented in an afternoon session where the supervisor,
the co-examiner and all econometrics BSc students are present, organised at an appropriate moment.
Marking is done by completing the official forms for marking a BSc thesis.
We look at various achievements (thesis content, thesis style, fluency of written expression, students'
initiative, students' creativity, students' independence etc.) and then take a weighted average of all
aspects. This procedure must be transparent. The final mark is explained in person to the student.
7. Saving and publishing as a scientific report: Digital Submission to the University Library UBVU
In addition to the general guidelines of the study guide of section 4, the final (.pdf)
version of the thesis should be submitted to the University Library. In this way all
FEWEB theses will be published in the public domain and can be searched and found
by the scientific community.
See Handleiding digitaal inleveren scripties FEWEB (2007) on http://www.feweb.vu.nl.
Latest URL: http://www.feweb.vu.nl/link.asp?itemnumber=11789.
References
- ASA (1986), American Statistical Association Style Guide, The American Statistician, 40, pp 80-87.
Stable URL: http://www.jstor.org/stable/2683140
- Ehrenberg, A. S. C, (1982), Writing Technical Papers or Reports, The American Statistician, 36, 326-329.
Stable URL: http://www.jstor.org/stable/2683079
- King, G. (2006), Publication, publication, PS: Political Science and Politics, 39, 119-125.
Continuous updates via URL: http://gking.harvard.edu/papers/