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Event
Spatial Economics [WS192561260]
Type
lecture (V)Term
WS 19/20SWS
2Language
EnglischAppointments
16Lecturers
Organisation
- Wirtschaftspolitik
Part of
- Brick Spatial Economics | Industrial Engineering and Management (M.Sc.)
- Brick Spatial Economics | Economics Engineering (M.Sc.)
- Brick Spatial Economics | Information Systems (M.Sc.)
- Brick Spatial Economics | Information Engineering and Management (M.Sc.)
- Brick Spatial Economics | Economathematics (M.Sc.)
Literature
Steven Brakman, Harry Garretsen, Charles van Marrewijk (2009): The New Introduction to Geographical Economics, 2nd ed, Cambridge University Press.
Weitere Literatur wird in der Vorlesung bekanntgegeben.
(Further literature will be announced in the lecture.)
Appointments
- 15.10.2019 11:30 - 13:00 - Room: 20.30 Seminarraum 0.016
- 15.10.2019 17:30 - 19:00 - Room: 20.30 Seminarraum 0.016
- 22.10.2019 11:30 - 13:00 - Room: 20.30 Seminarraum 0.016
- 22.10.2019 17:30 - 19:00 - Room: 20.30 Seminarraum 0.016
- 29.10.2019 11:30 - 13:00 - Room: 20.30 Seminarraum 0.016
- 29.10.2019 17:30 - 19:00 - Room: 20.30 Seminarraum 0.016
- 05.11.2019 11:30 - 13:00 - Room: 20.30 Seminarraum 0.016
- 05.11.2019 17:30 - 19:00 - Room: 20.30 Seminarraum 0.016
- 12.11.2019 11:30 - 13:00 - Room: 20.30 Seminarraum 0.016
- 12.11.2019 17:30 - 19:00 - Room: 20.30 Seminarraum 0.016
- 19.11.2019 11:30 - 13:00 - Room: 20.30 Seminarraum 0.016
- 19.11.2019 17:30 - 19:00 - Room: 20.30 Seminarraum 0.016
- 26.11.2019 11:30 - 13:00 - Room: 20.30 Seminarraum 0.016
- 26.11.2019 17:30 - 19:00 - Room: 20.30 Seminarraum 0.016
- 03.12.2019 11:30 - 13:00 - Room: 20.30 Seminarraum 0.016
- 03.12.2019 17:30 - 19:00 - Room: 20.30 Seminarraum 0.016
Note
The course covers the following topics:
- Geography, trade and development
- Geography and economic theory
- Core models of economic geography and empirical evidence
- Agglomeration, home market effect, and spatial wages
- Applications and extensions
Learning objectives:
The student
- analyses how spatial distribution of economic activity is determined.
- uses quantitative methods within the context of economic models.
- has basic knowledge of formal-analytic methods.
- understands the link between economic theory and its empirical applications.
- understands to what extent concentration processes result from agglomeration and dispersion forces.
- is able to determine theory based policy recommendations.
Recommendations:
Basic knowledge of micro- and macroeconomics is assumed, as taught in the courses Economics I [2600012], and Economics II [2600014]. An interest in mathematical modeling is advantageous.
Workload:
The total workload for this course is approximately 135 hours.
- Classes: ca. 30 h
- Self-study: ca. 45 h
- Exam and exam preparation: ca. 60 h
Assessment:
The assessment consists of a written exam (60 minutes) (following §4(2), 1 of the examination regulation).