P000149, An introduction to Spatial Econometrics: Methods and Applications, 5.0 Hp
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Syllabus

Finalized by: Jens Rommel, 2025-09-04
Valid from :

Level

Third cycle

Subject

Other social science

Grading Scale

The grade requirements within the course grading system are set out in specific criteria. These criteria must be available by the course start at the latest.

Course language

English

Entry Requirements

Objectives

At the end of the course, students are expected to be able to:
1. Quantify spatial dependence in empirical variables
2. Appreciate and interpret spatial aspects of economic relationships from geographic and nongeographic perspectives
3. Understand spatial econometric estimation methods
4. Explain the conditions for identification of spatial models
5. Use statistical/econometrics software to estimate models with spatial elements
6. Test and interpret estimated relationships that contain spatial elements

Content

This course provides an introduction to spatial econometrics. Spatial econometrics is concerned with the spatial aspects present in cross-sectional and space-time observations. "Space" is interpreted not merely in a geographic sense, but also in economic or sociological terms. The course is specifically designed for PhD students with a basic background in econometrics.

Examination Formats and Requirements for Passing the Course

Students will deliver a seminar presentation on their own research or replicate a provided study demonstrating the purpose and importance of spatial econometric techniques. The presentation should clearly explain the methodological steps taken, show how potential sources of error were identified and addressed, and provide a well-structured interpretation of the results.

Responsible Department/Equivalent

Department of Economics

Supplementary information

Other Information

The primary software applications used in this course will be R, which is “free and open source software”. Stata may be used sparingly in the course.