Syllabus

Title
5747 Advanced Subject in Economics - Spatial Economics
Instructors
Philipp Piribauer, Ph.D., Franziska Disslbacher, PhD, MSc, BSc, Dr. Mathias Moser
Type
PI
Weekly hours
4
Language of instruction
Englisch
Registration
02/20/18 to 02/25/18
Registration via LPIS
Notes to the course
Dates
Day Date Time Room
Friday 03/16/18 04:00 PM - 07:00 PM D4.0.144
Thursday 03/22/18 02:00 PM - 05:00 PM LC.-1.038
Friday 03/23/18 04:00 PM - 07:00 PM D4.0.144
Thursday 04/12/18 02:00 PM - 05:00 PM LC.-1.038
Friday 04/13/18 04:00 PM - 07:00 PM D4.0.144
Thursday 04/19/18 02:00 PM - 05:00 PM LC.-1.038
Friday 04/20/18 04:00 PM - 07:00 PM D4.0.144
Thursday 04/26/18 02:00 PM - 05:00 PM LC.-1.038
Friday 04/27/18 04:00 PM - 07:00 PM D4.0.144
Thursday 05/17/18 01:00 PM - 04:00 PM LC.-1.038
Friday 05/18/18 04:00 PM - 07:00 PM D4.0.144
Thursday 05/24/18 02:00 PM - 05:00 PM D4.0.022
Thursday 06/07/18 02:00 PM - 04:00 PM D4.2.213
Thursday 06/14/18 02:00 PM - 05:00 PM TC.4.16
Thursday 06/21/18 02:00 PM - 05:00 PM D4.2.213
Thursday 06/28/18 02:00 PM - 05:00 PM D4.0.144
Contents

Typically, the sessions will be devoted to lectures that explain the essential materials. Separate tutorial sessions aim at exposing the students to the practical implementation of various techniques in spatial data anlysis and spatial econometrics. Considerable attention will be paid to gaining hands-on experience in the application of spatial extensions of econometric models and techniques in empirical practice. An important aspect of the course is an empirical exercise that students carry out, using their own data (for example, for a master thesis project) or one of the data sets provided. Course material: There is no traditional course text. But the lecture slides and a limited number of readings are provided on the learn@wu platform. Class attendance: required. Classroom citizenship: a respectful interaction among all course participants is expected.

Learning outcomes
The main objective of the course is to expose students to the state of art in spatial economics with emphasis on regional economic growth, spatial econometric methods and empirics. Upon completing the course, students should be able to understand the importance of location and spatial dependence in regional development processes, and to apply spatial econometric methods and techniques in empirical practice.
Teaching/learning method(s)
There will be lectures in which the focal point is on the teacher’s explanation of the essential material. Active participation of the students is, however, expected in all lectures. Class discussions and making small exercises to better comprehend the material will be part of the lectures. Spatial econometrics software and data will be made available for computer lab exercises.
Assessment
Mode of assessment: Active participation and exercises (20%); class project (30%) and final exam (50%). Grades: 87.5-100% (very good: 1), 75.0-87.5% (good: 2), 62.5-75.0% (satisfactory: 3), 50-62.5% (sufficient: 4), 0-50% (fail: 5).
Prerequisites for participation and waiting lists

Recommended previous knowledge and skills
There are no formal prerequisites, but a good knowledge in econometric methods, or a prior undergraduate course in basic spatial statistics or spatial econometrics are highly recommended.
Last edited: 2017-11-15



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