314004 Reading Course "Statistische Wissenschaften" (Ko) (WiSe 2014/2015)

Contents, comment

This reading course investigates the theory of spatial econometric modelling. The basis here is the book

J.P. LeSage, K. Pace: Introduction to Spatial Econometrics. Chapman and Hall, 2009.

Additionally the manual of the MATLAB Toolbox Spatial Econometrics provides many insights.

Both books will be partitioned into sections (mostly chapters). Each section will be discussed in one session of the course, guided by a short summary of content provided by one of the students.

The course will be taught in English to allow BigSem students to participate.

Details on the modalities of the course will be discussed in the first meeting on 14.10.2014.

Requirements for participation, required level

The course is open for students from the master "Statistische Wissenschaften" and BigSem. The upper limit for participants is 20.

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
weekly Di 10-12 W9-109 14.10.2014-06.02.2015

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Subject assignments

Module Course Requirements  
31-SW-StaFo Forschung in der Statistik Reading Course Graded examination
Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.

Degree programme/academic programme Validity Variant Subdivision Status Semester LP  
Economics and Management (BiGSEM) / Promotion    
Statistische Wissenschaften / Master (Enrollment until SoSe 2014) SW8   3. 2  

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No eLearning offering available
Address:
WS2014_314004@ekvv.uni-bielefeld.de
This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_48901792@ekvv.uni-bielefeld.de
Notes:
Additional notes on the electronic mailing lists
Last update basic details/teaching staff:
Friday, December 11, 2015 
Last update times:
Sunday, June 1, 2014 
Last update rooms:
Sunday, June 1, 2014 
Type(s) / SWS (hours per week per semester)
colloquium (Ko) / 2
Language
This lecture is taught in english
Department
Faculty of Business Administration and Economics
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ID
48901792