Syllabus

Title
2061 Specialisation: Spatial Economics
Instructors
Dr. Mathias Moser, Franziska Disslbacher, PhD, MSc, BSc
Contact details
matmoser@wu.ac.at, franziska.disslbacher@wu.ac.at
Type
PI
Weekly hours
3
Language of instruction
Englisch
Registration
09/19/19 to 09/26/19
Registration via LPIS
Notes to the course
Subject(s) Master Programs
Spatial Economics
Dates
Day Date Time Room
Thursday 10/10/19 02:00 PM - 06:00 PM D4.0.127
Thursday 10/17/19 02:00 PM - 06:00 PM TC.3.10
Thursday 10/24/19 02:00 PM - 06:00 PM TC.3.10
Thursday 10/31/19 02:00 PM - 06:00 PM D4.0.133
Thursday 11/14/19 02:00 PM - 06:00 PM TC.3.10
Thursday 11/28/19 02:00 PM - 06:00 PM D4.0.127
Thursday 12/05/19 02:00 PM - 06:00 PM D4.0.127
Thursday 12/12/19 02:00 PM - 06:00 PM D4.0.127
Thursday 12/19/19 02:00 PM - 06:00 PM D4.0.127

On this page:

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Contents
  • (Spatial) Econometrics: OLS; ML; Lag/Error/Durbin Models
  • Exploratory Spatial Data Analysis; Geographically Weighted Regression
  • Mapping; Visualizations; Projections
  • Hands-on R exercises
  • R spatial environment & packages, Usage of RStudio IDE
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Learning outcomes

Students will be able to apply to

  • collect, prepare and analyze spatial data in R
  • choose and apply spatial econometric methods
  • understand limitations, drawbacks and common issues in spatial data analysis
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Attendance requirements

Regular attendance is required

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Teaching/learning method(s)
  1. Presentation of basic concepts by instructor
  2. Interactive coding sessions
  3. Weekly assignments
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Assessment
  1. Final Exam (65%)
  2. Assignment (20%)
  3. In-class discussion or student inputs (15%)
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Prerequisites for participation and waiting lists

First come

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Readings
1 Author: Arbia, Guiseppe
Title:

A Primer for Spatial Econometrics With Applications in R

Publisher: Palgrave
Year: 2014
Content relevant for class examination: Yes
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: Yes
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: Yes
Recommendation: Reference literature
Type: Book
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Recommended previous knowledge and skills
  • Good knowledge of Econometrics I (OLS, ML)
  • Basic R training (recommended, quick overview will be given in first unit)
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Availability of lecturer(s)

Anytime: matmoser@wu.ac.at

Last edited: 2019-07-18



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