Statistical Modelling for EOR
Faculteit  Economie en Bedrijfskunde 
Jaar  2019/20 
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 conduct 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) good looking teachers receive better course evaluations. Students will also be exposed to research from fields other than economics to learn about the broad applicability of econometrics. The focus of this course will be on working with the data. In particular, students will be provided with the data used in the abovementioned studies and replicate the results of the papers. Moreover, they will be asked to explore variants of the empirical strategies employed by the authors. Students will write reports about their findings and orally present these to the other students.  
Uren per week  4  
Onderwijsvorm  ►computer practicum, ►hoorcollege , ►werkcollege  
Toetsvorm  ►groepsopdracht, ►individuele presentatie, ►schriftelijk tentamen (open vragen)  
Vaksoort  propedeuse  
Coördinator  dr. A.M. Mueller  
Docent(en)  dr. A.M. Mueller , S. Sovago  
Verplichte literatuur 


Entreevoorwaarden  Some familiarity with statistics as provided in the firstyear 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 coordinator.) 

Opmerkingen  Secretariat EE&F: Grietje Pol, room: 5411.0836, phone: +31(0)50 36 33685, email: g.pol@rug.nl  
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