Syllabus

Title
1852 Research & Policy Seminar: Spatial Economics
Instructors
Dr. Mathias Moser
Contact details
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
09/14/20 to 09/20/20
Registration via LPIS
Notes to the course
Dates
Day Date Time Room
Thursday 11/05/20 02:00 PM - 06:00 PM Online-Einheit
Thursday 11/19/20 02:00 PM - 06:00 PM Online-Einheit
Thursday 12/10/20 02:00 PM - 06:00 PM Online-Einheit
Thursday 01/07/21 02:00 PM - 06:00 PM Online-Einheit
Thursday 01/14/21 02:00 PM - 06:00 PM Online-Einheit
Thursday 01/21/21 02:00 PM - 06:00 PM Online-Einheit
Thursday 01/28/21 02:00 PM - 06:00 PM Online-Einheit
Procedure for the course when limited activity on campus

Alternative mode:

  • Distance learning:
    • Project coaching via remote coaching, collaborative coding through RStudio & Gitlab
    • Teacher inputs through live sessions
    • 2 remote presentations either live or recorded (tbd in course)

Assessment:

  • Class project/paper (75%)
  • Remote Presentation (15%)
  • Active participation in collaborative coding/coaching sessions (10%)
Contents
  • Deep knowledge of the spatial R ecosystem
  • Current issues in spatial economics
Learning outcomes

Students are able to independently carry out basic research in spatial economics and write a scientific report.

Attendance requirements

Regular attendance in online sessions (4 out of 5)

Teaching/learning method(s)
  • Interactive coding and inputs
  • Critical discussion of papers and methods
  • Guided research project
Assessment
  • Class project/paper (75%)
  • Presentation (15%)
  • Active participation, give Feedback in Teams channel (10%)
Readings
1 Author: Arbia, Guiseppe
Title:

A Primer for Spatial Econometrics With Applications in R


Publisher: Palgrave
Year: 2014
Content relevant for class examination: No
Recommendation: Reference literature
Type: Book
2 Author: LeSage, James; Pace, R. Kelley
Title:

Introduction to Spatial Econometrics


Publisher: CRC Press
Year: 2009
Content relevant for class examination: No
Recommendation: Reference literature
Type: Book
3 Author: Bivand, Roger S.; Pebesma, Ezer J.; Gomez-Rubio, Virgilio
Title:

Applied Spatial Data Analysis with R


Publisher: Springer
Year: 2008
Content relevant for class examination: No
Recommendation: Reference literature
Type: Book
Recommended previous knowledge and skills
  • Parallel course: "1787 - Specialisation: Spatial Economics" --> this course will build the foundation for our seminar and has to be taken in an earlier semester or simultaneously
  • General interest in spatial economic research
Availability of lecturer(s)
Unit details
Unit Date Contents
1 05.11.2020

Kick-off:

  • Seminar paper topics
  • Discussion of Article "Mostly Pointless Spatial Econometrics"
  • Intro to RStudio Server@WU and GitLab
2 19.11.2020

Student inputs: Topics of seminar papers

3 07.11.2021

Remote hacking session I: TEAMS+Git+RStudio

4 14.01.2021

Remote hacking session II

5 21.01.2021

Final presentations of seminar papers

Last edited: 2020-09-15



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