Statistical Modelling for EOR

Faculteit Economie en Bedrijfskunde
Jaar 2017/18
Vakcode EBP008B05
Vaknaam Statistical Modelling for EOR
Niveau(s) propedeuse
Voertaal Engels
Periode semester II b
ECTS 5
Rooster rooster

Uitgebreide vaknaam Statistical Modelling for EOR
Leerdoelen Upon completion of the course the student is able to:
1. Explain the most important tools to do a preliminary data analysis
2. Describe the most important properties of the regression model
3. Apply the regression model to economic data, using statistical software
4. Interpret the results of a regression analysis
5. Describe some basic actuarial models from life insurance
6. Give examples of the applicability of the actuarial models in the field of insurance, mortgages and pensions
7. Explain the most important mathematical, statistical and probabilistic techniques needed in life insurance
8. Apply the techniques from mathematics, statistics and probability to basic life insurance problems
9. Present the results of an econometric and actuarial science problem to a broad audience in English
10. Write reports in English about empirical problems and the way they were solved
11. Discuss econometric and actuarial science research done by researchers from the faculty and elsewhere.
Omschrijving Students get a first experience of how econometric research is done in practice. They will get acquainted with applied econometric research from economic journals such as the American Economic Review or the Quarterly Journal of Economics. Examples of topics include the question of how much an extra year of education increases later earnings or whether (to give a funnier, yet relevant example) blond women marry richer husbands or if good looking teachers receive better course evaluations. Also, we will visit research from other fields than economics to learn about the broad applicability of econometrics. The focus will be on working with the data rather than just reading about research. In particular, students will be provided with the data used in the above-mentioned studies and replicate the results of the papers. Moreover, they will be asked to explore variants to the empirical strategies employed by the authors. Students write reports about their findings and orally present these to the other students.
Uren per week 4
Onderwijsvorm hoorcolleges, intervisie
Toetsvorm opdracht(en), presentatie(s), schriftelijk tentamen met open vragen
Vaksoort propedeuse
Coördinator O. Rétallér
Docent(en) dr. A.M. Mueller , O. Rétallér
Verplichte literatuur
Titel Auteur ISBN Prijs
Students will be provided with relevant journal articles and conduct additional research via e.g. the internet.
Entreevoorwaarden Some familiarity with statistics as provided in the first-year courses Probability Theory and Probability Distributions.
Admittance to the BSc EOR. Depending on e.g. capacity, other students may be allowed to participate in some or all course activities. (To be decided by the Programme Director.)
Opmerkingen Info: Orsolya Rétallér MSc, phone: +3150 363 3836, e-mail: o.retaller@rug.nl.
Secr: Martine Geerlings-Koolman, phone: +3150 363 7018, e-mail: m.a.koolman@rug.nl.
Opgenomen in
Opleiding Jaar Periode Type
BSc Econometrics and Operations Research/EOR  (basisprogramma BSc EOR) 1 semester II b verplicht